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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 27
Volume 27, Number 1, January 2016
- Haibo He, Nitesh V. Chawla
, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang:
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. 1-7 - Manas Kumar Jena, Subhransu Ranjan Samantaray:
Data-Mining-Based Intelligent Differential Relaying for Transmission Lines Including UPFC and Wind Farms. 8-17 - Guanyu Lai, Zhi Liu, Yun Zhang, C. L. Philip Chen:
Adaptive Position/Attitude Tracking Control of Aerial Robot With Unknown Inertial Matrix Based on a New Robust Neural Identifier. 18-31 - Xi Yang, Xinbo Gao, Dacheng Tao, Xuelong Li, Bing Han, Jie Li:
Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection. 32-46 - Jin Tian, Minqiang Li, Fuzan Chen, Nan Feng:
Learning Subspace-Based RBFNN Using Coevolutionary Algorithm for Complex Classification Tasks. 47-61 - Souhaib Ben Taieb, Amir F. Atiya:
A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. 62-76 - Jia Wang, Xian-Ming Zhang, Qing-Long Han:
Event-Triggered Generalized Dissipativity Filtering for Neural Networks With Time-Varying Delays. 77-88 - Bing Chen, Huaguang Zhang, Chong Lin:
Observer-Based Adaptive Neural Network Control for Nonlinear Systems in Nonstrict-Feedback Form. 89-98 - Christos Kyrkou, Christos-Savvas Bouganis, Theocharis Theocharides, Marios M. Polycarpou:
Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines. 99-112 - Sarwar Tapan, Dianhui Wang:
A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps. 113-124 - Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao:
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks. 125-138 - Yan-Jun Liu, Ying Gao, Shaocheng Tong, C. L. Philip Chen:
A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input. 139-150 - Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. 151-164 - Quan-Yong Fan, Guang-Hong Yang:
Adaptive Actor-Critic Design-Based Integral Sliding-Mode Control for Partially Unknown Nonlinear Systems With Input Disturbances. 165-177 - Yao Chen, Daniel W. C. Ho, Jinhu Lu, Zongli Lin:
Convergence Rate for Discrete-Time Multiagent Systems With Time-Varying Delays and General Coupling Coefficients. 178-189 - Haibo Bao, Ju H. Park, Jinde Cao:
Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With Time-Varying Probabilistic Delay Coupling and Impulsive Delay. 190-201 - Rudrayya C. Garigipati, Preethika Kumar:
Mirror Inverse Operations in Linear Nearest Neighbors Using Dynamic Learning Algorithm. 202-207
Volume 27, Number 2, February 2016
- Zhigang Zeng, Andrzej Cichocki, Long Cheng, Youshen Xia, Xiaolin Hu:
Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications. 210-213 - Youshen Xia, Jun Wang:
A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems. 214-224 - Bolin Liao, Yunong Zhang, Long Jin:
Taylor O(h3) Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators. 225-237 - Zhishan Guo, Sanjoy K. Baruah:
A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. 238-248 - Dongpo Xu, Yili Xia, Danilo P. Mandic:
Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms. 249-261 - Quan Quan, Kai-Yuan Cai:
A New Continuous-Time Equality-Constrained Optimization to Avoid Singularity. 262-272 - Yiguang Liu, Songfan Yang, Pengfei Wu, Chunguang Li, Menglong Yang:
L1-Norm Low-Rank Matrix Decomposition by Neural Networks and Mollifiers. 273-283 - Deming Yuan, Daniel W. C. Ho, Shengyuan Xu:
Zeroth-Order Method for Distributed Optimization With Approximate Projections. 284-294 - Mauro Di Marco, Mauro Forti, Paolo Nistri, Luca Pancioni:
Nonsmooth Neural Network for Convex Time-Dependent Constraint Satisfaction Problems. 295-307 - Chaojie Li, Xinghuo Yu, Tingwen Huang, Guo Chen, Xing He:
A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach. 308-321 - Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Junzhi Yu, Min Tan:
Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network. 322-333 - Kan Li, José C. Príncipe:
The Kernel Adaptive Autoregressive-Moving-Average Algorithm. 334-346 - Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Chun-Hsiang Chuang, Chin-Teng Lin:
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network. 347-360 - Jen-Tzung Chien, Yuan-Chu Ku:
Bayesian Recurrent Neural Network for Language Modeling. 361-374 - Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann:
Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits. 375-387 - Chih-Lyang Hwang, Chau Jan:
Recurrent-Neural-Network-Based Multivariable Adaptive Control for a Class of Nonlinear Dynamic Systems With Time-Varying Delay. 388-401 - Hong-Gui Han, Lu Zhang, Ying Hou, Junfei Qiao:
Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. 402-415 - Tong Wang, Huijun Gao, Jianbin Qiu:
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control. 416-425 - Qing-Long Han, Yurong Liu, Fuwen Yang:
Optimal Communication Network-Based H∞ Quantized Control With Packet Dropouts for a Class of Discrete-Time Neural Networks With Distributed Time Delay. 426-434 - Rong Yu, Weifeng Zhong, Shengli Xie, Yan Zhang, Yun Zhang:
QoS Differential Scheduling in Cognitive-Radio-Based Smart Grid Networks: An Adaptive Dynamic Programming Approach. 435-443 - Qinglai Wei, Ruizhuo Song, Pengfei Yan:
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP. 444-458 - Lixian Zhang, Yanzheng Zhu, Wei Xing Zheng:
Synchronization and State Estimation of a Class of Hierarchical Hybrid Neural Networks With Time-Varying Delays. 459-470 - Xiaoyang Liu, Housheng Su, Michael Z. Q. Chen:
A Switching Approach to Designing Finite-Time Synchronization Controllers of Coupled Neural Networks. 471-482 - Ren Zheng, Xinlei Yi, Wenlian Lu, Tianping Chen:
Stability of Analytic Neural Networks With Event-Triggered Synaptic Feedbacks. 483-494
Volume 27, Number 3, March 2016
- Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. 497-509 - Huanqing Wang, Xiaoping Liu, Kefu Liu:
Robust Adaptive Neural Tracking Control for a Class of Stochastic Nonlinear Interconnected Systems. 510-523 - Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu, Ahmed Chiheb Ammari, Ahmed Alabdulwahab:
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models. 524-537 - Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain. 538-550 - Vincent Canals, Antoni Morro, Antoni Oliver, Miquel L. Alomar, Josep L. Rosselló:
A New Stochastic Computing Methodology for Efficient Neural Network Implementation. 551-564 - Jen-Tzung Chien:
Hierarchical Theme and Topic Modeling. 565-578 - Xin Luo, MengChu Zhou, Shuai Li, Zhu-Hong You, Yunni Xia, Qingsheng Zhu:
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method. 579-592 - Xiwei Liu, Tianping Chen:
Global Exponential Stability for Complex-Valued Recurrent Neural Networks With Asynchronous Time Delays. 593-606 - Youlu Xing, Furao Shen, Jinxi Zhao:
Perception Evolution Network Based on Cognition Deepening Model - Adapting to the Emergence of New Sensory Receptor. 607-620 - Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li:
A Spiking Neural Network System for Robust Sequence Recognition. 621-635 - Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso:
DC Proximal Newton for Nonconvex Optimization Problems. 636-647 - Farkhondeh Kiaee, Hamid Sheikhzadeh, Samaneh Eftekhari Mahabadi:
Relevance Vector Machine for Survival Analysis. 648-660 - Tomasz Talaska, Marta Kolasa, Rafal Dlugosz, Witold Pedrycz:
Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology. 661-673 - Luming Zhang, Richang Hong, Yue Gao, Rongrong Ji, Qionghai Dai, Xuelong Li:
Image Categorization by Learning a Propagated Graphlet Path. 674-685 - Ning Li, Jinde Cao:
Lag Synchronization of Memristor-Based Coupled Neural Networks via ω-Measure. 686-697 - Qingshan Liu, Jun Wang:
L1-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network. 698-707
Volume 27, Number 4, April 2016
- Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. 709-722 - Zhihui Lai, Wai Keung Wong, Yong Xu, Jian Yang, David Zhang:
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction. 723-735 - Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Bayesian Robust Tensor Factorization for Incomplete Multiway Data. 736-748 - Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren:
Pinning Control Strategies for Synchronization of Linearly Coupled Neural Networks With Reaction-Diffusion Terms. 749-761 - Deyuan Meng, Yingmin Jia, Junping Du:
Finite-Time Consensus for Multiagent Systems With Cooperative and Antagonistic Interactions. 762-770 - Tianheng Song, Dazi Li, Liulin Cao, Kotaro Hirasawa:
Kernel-Based Least Squares Temporal Difference With Gradient Correction. 771-782 - Shuisheng Zhou:
Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems. 783-795 - Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi:
Effective Discriminative Feature Selection With Nontrivial Solution. 796-808 - Jiexiong Tang, Chenwei Deng, Guang-Bin Huang:
Extreme Learning Machine for Multilayer Perceptron. 809-821 - Yunlong Feng, Yuning Yang, Johan A. K. Suykens:
Robust Gradient Learning With Applications. 822-835 - Takashi Matsubara, Hiroyuki Torikai:
An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities. 836-852 - Xiaoyang Liu, James Lam, Wenwu Yu, Guanrong Chen:
Finite-Time Consensus of Multiagent Systems With a Switching Protocol. 853-862 - Yi Xiao, Ruibin Feng, Chi-Sing Leung, John Sum:
Objective Function and Learning Algorithm for the General Node Fault Situation. 863-874 - Zhenfang Hu, Gang Pan, Yueming Wang, Zhaohui Wu:
Sparse Principal Component Analysis via Rotation and Truncation. 875-890 - Cristiano Cervellera, Danilo Macciò:
Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines. 891-896 - Hien Duy Nguyen, Ian A. Wood:
Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines. 897-902 - Peng Shi, Yingqi Zhang, Mohammed Chadli, Ramesh K. Agarwal:
Mixed H-Infinity and Passive Filtering for Discrete Fuzzy Neural Networks With Stochastic Jumps and Time Delays. 903-909
Volume 27, Number 5, May 2016
- Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat:
Storing Sequences in Binary Tournament-Based Neural Networks. 913-925 - Marko Robnik-Sikonja:
Data Generators for Learning Systems Based on RBF Networks. 926-938 - Binbin Pan, Wensheng Chen, Chen Xu, Bo Chen:
A Novel Framework for Learning Geometry-Aware Kernels. 939-951 - Yun Yang, Jianmin Jiang:
Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions. 952-965 - Annabella Astorino, Antonio Fuduli:
The Proximal Trajectory Algorithm in SVM Cross Validation. 966-977 - Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan:
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity. 978-992 - Yicong Zhou, Hong Chen, Rushi Lan, Zhibin Pan:
Generalization Performance of Regularized Ranking With Multiscale Kernels. 993-1002 - Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. 1003-1019 - Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li:
Learning Discriminative Stein Kernel for SPD Matrices and Its Applications. 1020-1033 - Lazaros Zafeiriou, Mihalis A. Nicolaou, Stefanos Zafeiriou, Symeon Nikitidis, Maja Pantic:
Probabilistic Slow Features for Behavior Analysis. 1034-1048 - Arash Mohammadi, Konstantinos N. Plataniotis:
Improper Complex-Valued Bhattacharyya Distance. 1049-1064 - Hong Jia, Yiu-ming Cheung, Jiming Liu:
A New Distance Metric for Unsupervised Learning of Categorical Data. 1065-1079 - Pan Zhou, Zhouchen Lin, Chao Zhang:
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition. 1080-1093 - Wenjun Xia, Yoshio Mita, Tadashi Shibata:
A Nearest Neighbor Classifier Employing Critical Boundary Vectors for Efficient On-Chip Template Reduction. 1094-1107 - Olcay Taner Yildiz:
Tree Ensembles on the Induced Discrete Space. 1108-1113
Volume 27, Number 6, June 2016
- Junwei Han, Ling Shao, Nuno Vasconcelos, Jungong Han, Dong Xu:
Guest Editorial Special Section on Visual Saliency Computing and Learning. 1118-1121 - Dapeng Tao, Jun Cheng, Mingli Song, Xu Lin:
Manifold Ranking-Based Matrix Factorization for Saliency Detection. 1122-1134 - Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li:
DISC: Deep Image Saliency Computing via Progressive Representation Learning. 1135-1149 - Zhenbao Liu, Xiao Wang, Shuhui Bu:
Human-Centered Saliency Detection. 1150-1162 - Dingwen Zhang, Junwei Han, Jungong Han, Ling Shao:
Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining. 1163-1176 - Jun Zhang, Meng Wang, Shengping Zhang, Xuelong Li, Xindong Wu:
Spatiochromatic Context Modeling for Color Saliency Analysis. 1177-1189 - Congyan Lang, Jiashi Feng, Songhe Feng, Jingdong Wang, Shuicheng Yan:
Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. 1190-1200 - Huiying Liu, Min Xu, Jinqiao Wang, Tianrong Rao, Ian S. Burnett:
Improving Visual Saliency Computing With Emotion Intensity. 1201-1213 - Ali Borji, James Tanner:
Reconciling Saliency and Object Center-Bias Hypotheses in Explaining Free-Viewing Fixations. 1214-1226 - Chen Xia, Fei Qi, Guangming Shi:
Bottom-Up Visual Saliency Estimation With Deep Autoencoder-Based Sparse Reconstruction. 1227-1240 - Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool, Qi Zhao:
Learning to Predict Sequences of Human Visual Fixations. 1241-1252 - Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, Qi Tian:
Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data. 1253-1265 - Wei Zhang, Ali Borji, Zhou Wang, Patrick Le Callet, Hantao Liu:
The Application of Visual Saliency Models in Objective Image Quality Assessment: A Statistical Evaluation. 1266-1278 - Qi Wang, Jianzhe Lin, Yuan Yuan:
Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking. 1279-1289 - Marcello Pelillo, Edwin R. Hancock, Xuelong Li, Vittorio Murino:
Guest Editorial Special Section on Learning in Non-(geo)metric Spaces. 1290-1293 - Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences. 1294-1306 - Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III:
Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. 1307-1321 - Michelangelo Diligenti, Marco Gori, Claudio Saccà:
Learning in Variable-Dimensional Spaces. 1322-1332 - Shen-Shyang Ho, Peng Dai, Frank Rudzicz:
Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search. 1333-1344 - Xiatian Zhu, Chen Change Loy, Shaogang Gong:
Constrained Clustering With Imperfect Oracles. 1345-1357 - Amir Alush, Jacob Goldberger:
Hierarchical Image Segmentation Using Correlation Clustering. 1358-1367 - Jian Hou, Huijun Gao, Qi Xia, Naiming Qi:
Feature Combination and the kNN Framework in Object Classification. 1368-1378 - Veronika Cheplygina, David M. J. Tax, Marco Loog:
Dissimilarity-Based Ensembles for Multiple Instance Learning. 1379-1391 - Dapeng Tao, Lianwen Jin, Yuan Yuan, Yang Xue:
Ensemble Manifold Rank Preserving for Acceleration-Based Human Activity Recognition. 1392-1404
Volume 27, Number 7, July 2016
- Jin Xu:
Probe Machine. 1405-1416 - Ping Luo, Liang Lin, Xiaobai Liu:
Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection. 1417-1428 - Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao, Robert Kozma:
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. 1429-1444 - Guoqing Chao, Shiliang Sun:
Alternative Multiview Maximum Entropy Discrimination. 1445-1456 - Wouter Caarls, Erik Schuitema:
Parallel Online Temporal Difference Learning for Motor Control. 1457-1468 - Xiaowei Zhang, Delin Chu, Roger C. E. Tan:
Sparse Uncorrelated Linear Discriminant Analysis for Undersampled Problems. 1469-1485 - Chuan-Ke Zhang, Yong He, Lin Jiang, Min Wu:
Stability Analysis for Delayed Neural Networks Considering Both Conservativeness and Complexity. 1486-1501 - Xiaojun Chang, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou, Chengqi Zhang:
Compound Rank-k Projections for Bilinear Analysis. 1502-1513 - Xianchao Zhang, Linlin Zong, Xinyue Liu, Jiebo Luo:
Constrained Clustering With Nonnegative Matrix Factorization. 1514-1526 - Yin Zhao, Bijoy K. Ghosh, Daizhan Cheng:
Control of Large-Scale Boolean Networks via Network Aggregation. 1527-1536 - Samrat Dutta, Prem Kumar Patchaikani, Laxmidhar Behera:
Near-Optimal Controller for Nonlinear Continuous-Time Systems With Unknown Dynamics Using Policy Iteration. 1537-1549 - Feilong Cao, MiaoMiao Cai, Yuanpeng Tan, Jianwei Zhao:
Image Super-Resolution via Adaptive ℓp (0<p<1) Regularization and Sparse Representation. 1550-1561 - Yan-Jun Liu, Jing Li, Shaocheng Tong, C. L. Philip Chen:
Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints. 1562-1571 - Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu:
Learning Spike Time Codes Through Morphological Learning With Binary Synapses. 1572-1577 - Wenjun Xiong, Daniel W. C. Ho, Xinghuo Yu:
Saturated Finite Interval Iterative Learning for Tracking of Dynamic Systems With HNN-Structural Output. 1578-1584 - Fangfei Li:
Pinning Control Design for the Stabilization of Boolean Networks. 1585-1590 - Qiaolin Ye, Jian Yang, Tongming Yin, Zhao Zhang:
Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR? 1591-1598
Volume 27, Number 8, August 2016
- Dipti Srinivasan, Ganesh Kumar Venayagamoorthy:
Guest Editorial Special Issue on "Neural Networks and Learning Systems Applications in Smart Grid". 1601-1603 - Liang Hu, Zidong Wang, Xiaohui Liu:
Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach. 1604-1614 - Chunling Dong, Yue Zhao, Qin Zhang:
Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph. 1615-1630 - Bhargav Y. Vyas, Biswarup Das, Rudra Prakash Maheshwari:
Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms. 1631-1642 - Ganesh Kumar Venayagamoorthy, Ratnesh K. Sharma, Prajwal K. Gautam, Afshin Ahmadi:
Dynamic Energy Management System for a Smart Microgrid. 1643-1656 - Chandra Sekhar Perumalla, Sukumar Mishra:
Storage Free Smart Energy Management for Frequency Control in a Diesel-PV-Fuel Cell-Based Hybrid AC Microgrid. 1657-1671 - Christian Napoli, Giuseppe Pappalardo, Giuseppe Marco Tina, Emiliano Tramontana:
Cooperative Strategy for Optimal Management of Smart Grids by Wavelet RNNs and Cloud Computing. 1672-1685 - Yan Xu, Rui Zhang, Junhua Zhao, Zhao Yang Dong, Dianhui Wang, Hongming Yang, Kit Po Wong:
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System. 1686-1696 - Shengli Xie, Weifeng Zhong, Kan Xie, Rong Yu, Yan Zhang:
Fair Energy Scheduling for Vehicle-to-Grid Networks Using Adaptive Dynamic Programming. 1697-1707 - Hongbin Sun, Feng Zhao, Hao Wang, Kang Wang, Weiyong Jiang, Qinglai Guo, Boming Zhang, Louis Wehenkel:
Automatic Learning of Fine Operating Rules for Online Power System Security Control. 1708-1719 - Tiago Pinto, Hugo Morais, Tiago M. Sousa, Tiago Sousa, Zita A. Vale, Isabel Praça, Ricardo Faia, Eduardo José Solteiro Pires:
Adaptive Portfolio Optimization for Multiple Electricity Markets Participation. 1720-1733 - Ronay Ak, Olga Fink, Enrico Zio:
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction. 1734-1747 - Wentao Guo, Feng Liu, Jennie Si, Dawei He, Ronald G. Harley, Shengwei Mei:
Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration. 1748-1761 - Yufei Tang, Haibo He, Zhen Ni, Jinyu Wen, Tingwen Huang:
Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission. 1762-1772 - Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. 1773-1786 - Sasikanth Pagadrai, Muhittin Yilmaz, Pratyush Valluri:
Smart-Grid Backbone Network Real-Time Delay Reduction via Integer Programming. 1787-1792 - Ye Ren, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth:
A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting. 1793-1798
Volume 27, Number 9, September 2016
- Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. 1801-1815 - Xiao Liang, Linshan Wang, Yangfan Wang, Ruili Wang:
Dynamical Behavior of Delayed Reaction-Diffusion Hopfield Neural Networks Driven by Infinite Dimensional Wiener Processes. 1816-1826 - Shiliang Sun, Xijiong Xie:
Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization. 1827-1839 - Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco:
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. 1840-1850 - Tongliang Liu, Dacheng Tao:
On the Performance of Manhattan Nonnegative Matrix Factorization. 1851-1863 - Yanjun Zhang, Gang Tao, Mou Chen:
Adaptive Neural Network Based Control of Noncanonical Nonlinear Systems. 1864-1877 - Okko Johannes Räsänen, Jukka P. Saarinen:
Sequence Prediction With Sparse Distributed Hyperdimensional Coding Applied to the Analysis of Mobile Phone Use Patterns. 1878-1889 - Shubhra Sankar Ray, Avatharam Ganivada, Sankar K. Pal:
A Granular Self-Organizing Map for Clustering and Gene Selection in Microarray Data. 1890-1906 - Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy:
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. 1907-1919 - Manuel Graña Romay, Darya Chyzhyk:
Image Understanding Applications of Lattice Autoassociative Memories. 1920-1932 - Yuning Yang, Yunlong Feng, Johan A. K. Suykens:
Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator. 1933-1946 - María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez:
Oversampling the Minority Class in the Feature Space. 1947-1961 - Junzhi Yu, Zhengxing Wu, Ming Wang, Min Tan:
CPG Network Optimization for a Biomimetic Robotic Fish via PSO. 1962-1968 - Zongcheng Liu, Xinmin Dong, Jianping Xue, Hongbo Li, Yong Chen:
Adaptive Neural Control for a Class of Pure-Feedback Nonlinear Systems via Dynamic Surface Technique. 1969-1975 - Xudong Zhao, Peng Shi, Xiaolong Zheng, Jianhua Zhang:
Intelligent Tracking Control for a Class of Uncertain High-Order Nonlinear Systems. 1976-1982 - Amit Chattopadhyay, Suviseshamuthu Easter Selvan, Umberto Amato:
A Derivative-Free Riemannian Powell's Method, Minimizing Hartley-Entropy-Based ICA Contrast. 1983-1990 - Yang Liu, Liangjie Sun, Jianquan Lu, Jinling Liang:
Feedback Controller Design for the Synchronization of Boolean Control Networks. 1991-1996
Volume 27, Number 10, October 2016
- Pratik Prabhanjan Brahma, Dapeng Wu, Yiyuan She:
Why Deep Learning Works: A Manifold Disentanglement Perspective. 1997-2008 - Ali Heydari:
Feedback Solution to Optimal Switching Problems With Switching Cost. 2009-2019 - Eduardo Bayro-Corrochano, Eduardo Vázquez-Santacruz, Eduardo Ulises Moya-Sánchez, Efrain Castillo-Muñis:
Geometric Bioinspired Networks for Recognition of 2-D and 3-D Low-Level Structures and Transformations. 2020-2034 - Wei Shiung Liew, Manjeevan Seera, Chu Kiong Loo, Einly Lim, Naoyuki Kubota:
Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference. 2035-2046 - Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang:
Space Structure and Clustering of Categorical Data. 2047-2059 - Imen Hammami, Grégoire Mercier, Atef Hamouda, Jean Dezert:
Kohonen's Map Approach for the Belief Mass Modeling. 2060-2071 - Onur C. Hamsici, Aleix M. Martínez:
Multiple Ordinal Regression by Maximizing the Sum of Margins. 2072-2083 - Chih-Min Lin, Ming-Shu Yang, Fei Chao, Xiao-Min Hu, Jun Zhang:
Adaptive Filter Design Using Type-2 Fuzzy Cerebellar Model Articulation Controller. 2084-2094 - Thomas Blumensath:
Directional Clustering Through Matrix Factorization. 2095-2107 - Debarghya Ghoshdastidar, Ajay P. Adsul, Ambedkar Dukkipati:
Learning With Jensen-Tsallis Kernels. 2108-2119 - Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong:
Tensor LRR and Sparse Coding-Based Subspace Clustering. 2120-2133 - Biao Luo, Derong Liu, Tingwen Huang, Ding Wang:
Model-Free Optimal Tracking Control via Critic-Only Q-Learning. 2134-2144
Volume 27, Number 11, November 2016
- Luigi Grippo, Andrea Manno, Marco Sciandrone:
Decomposition Techniques for Multilayer Perceptron Training. 2146-2159 - Sheng Li, Yun Fu:
Learning Robust and Discriminative Subspace With Low-Rank Constraints. 2160-2173 - Junli Liang, Guoyang Yu, Badong Chen, Minghua Zhao:
Decentralized Dimensionality Reduction for Distributed Tensor Data Across Sensor Networks. 2174-2186 - Liu Yang, Liping Jing, Jian Yu, Michael K. Ng:
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. 2187-2200 - Chunlei Peng, Xinbo Gao, Nannan Wang, Dacheng Tao, Xuelong Li, Jie Li:
Multiple Representations-Based Face Sketch-Photo Synthesis. 2201-2215 - Qiguang Miao, Ying Cao, Ge Xia, Maoguo Gong, Jiachen Liu, Jianfeng Song:
RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners. 2216-2228 - Cheng-Wei Li, Chung-Chuan Lo, Bor-Sen Chen:
Estimating Sensorimotor Mapping From Stimuli to Behaviors to Infer C. elegans Movements by Neural Transmission Ability Through Connectome Databases. 2229-2241 - Francesco A. N. Palmieri:
A Comparison of Algorithms for Learning Hidden Variables in Bayesian Factor Graphs in Reduced Normal Form. 2242-2255 - Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki:
Sparse Bayesian Classification of EEG for Brain-Computer Interface. 2256-2267 - Shijie Xiao, Mingkui Tan, Dong Xu, Zhao Yang Dong:
Robust Kernel Low-Rank Representation. 2268-2281 - Yohei Nakada:
Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions. 2282-2300 - Hong Zeng, Aiguo Song:
Optimizing Single-Trial EEG Classification by Stationary Matrix Logistic Regression in Brain-Computer Interface. 2301-2313 - Savas Sahin, Cüneyt Güzelis:
Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability. 2314-2326 - Patrick Sheridan, Chao Du, Wei D. Lu:
Feature Extraction Using Memristor Networks. 2327-2336 - Zhanshan Wang, Sanbo Ding, Zhanjun Huang, Huaguang Zhang:
Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method. 2337-2350 - Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity:
Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming. 2351-2363 - Xiang Cao, Daqi Zhu, Simon X. Yang:
Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments. 2364-2374 - Ruxandra-Liana Costea, Corneliu A. Marinov:
A Consistent Model for Lazzaro Winner-Take-All Circuit With Invariant Subthreshold Behavior. 2375-2385 - Kyriakos G. Vamvoudakis, Marcio Fantini Miranda, João Pedro Hespanha:
Asymptotically Stable Adaptive-Optimal Control Algorithm With Saturating Actuators and Relaxed Persistence of Excitation. 2386-2398 - Hanwen Ning, Guangyan Qing, Xing Jian Jing:
Identification of Nonlinear Spatiotemporal Dynamical Systems With Nonuniform Observations Using Reproducing-Kernel-Based Integral Least Square Regulation. 2399-2412 - Haibin Duan, Xiaohua Wang:
Echo State Networks With Orthogonal Pigeon-Inspired Optimization for Image Restoration. 2413-2425 - Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P. Mandic:
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. 2426-2439 - Junfeng Zhang, Xudong Zhao, Jun Huang:
Synchronization Control of Neural Networks With State-Dependent Coefficient Matrices. 2440-2447 - Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu:
Efficient χ2 Kernel Linearization via Random Feature Maps. 2448-2453
Volume 27, Number 12, December 2016
- Jenni Raitoharju, Serkan Kiranyaz, Moncef Gabbouj:
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering. 2458-2471 - Cheng Deng, Jie Xu, Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li:
Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution. 2472-2485 - Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui:
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints. 2486-2498 - Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao:
A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data. 2499-2512 - Xiangnan Zhong, Zhen Ni, Haibo He:
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming. 2513-2525 - Li Liu, Ling Shao:
Sequential Compact Code Learning for Unsupervised Image Hashing. 2526-2536 - Haijun Zhang, Tommy W. S. Chow, Q. M. Jonathan Wu:
Organizing Books and Authors by Multilayer SOM. 2537-2550 - Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng:
Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition. 2551-2563 - Min Wang, Cong Wang, Peng Shi, Xiaoping Liu:
Dynamic Learning From Neural Control for Strict-Feedback Systems With Guaranteed Predefined Performance. 2564-2576 - Yue Fu, Tianyou Chai:
Online Solution of Two-Player Zero-Sum Games for Continuous-Time Nonlinear Systems With Completely Unknown Dynamics. 2577-2587 - Sanqing Hu, Xinxin Jia, Jianhai Zhang, Wanzeng Kong, Yu Cao:
Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality. 2588-2601 - Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano:
Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study. 2602-2614 - Long Jin, Yunong Zhang, Shuai Li:
Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises. 2615-2627 - Xueyi Zhao, Xi Li, Zhongfei Zhang, Chunhua Shen, Yueting Zhuang, Lixin Gao, Xuelong Li:
Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization. 2628-2642 - Ran He, Liang Wang, Zhenan Sun, Yingya Zhang, Bo Li:
Information Theoretic Subspace Clustering. 2643-2655 - Lei Meng, Ah-Hwee Tan, Donald C. Wunsch:
Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering. 2656-2669 - Yangtao Wang, Lihui Chen:
K-MEAP: Multiple Exemplars Affinity Propagation With Specified K Clusters. 2670-2682 - Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang, Chun Lung Philip Chen:
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights. 2683-2695 - Wu-Hua Chen, Shixian Luo, Wei Xing Zheng:
Impulsive Synchronization of Reaction-Diffusion Neural Networks With Mixed Delays and Its Application to Image Encryption. 2696-2710 - Lingfeng Wang, Xu-Yao Zhang, Chunhong Pan:
MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multicategory Classification. 2711-2717 - Shida Liu, Zhongsheng Hou, Chenkun Yin:
Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches. 2718-2729 - Huisheng Zhang, Danilo P. Mandic:
Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms? 2730-2735 - Nan Wang, Aiguo Song:
Enhanced Logical Stochastic Resonance in Synthetic Genetic Networks. 2736-2739 - Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding:
A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification. 2740-2747 - Bendix Schneider, Joni Dambre, Peter Bienstman:
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems. 2748-2753 - Huaguang Zhang, Hui Tian, Zhanshan Wang, Yanfang Hou:
Synchronization Analysis and Design of Coupled Boolean Networks Based on Periodic Switching Sequences. 2754-2759 - Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Harapajan Singh:
Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree. 2760-2767 - Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang:
Max-Margin-Based Discriminative Feature Learning. 2768-2775
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