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ORCIDIEEE Transactions on Neural Networks, Volume 19
Volume 19, Number 1, January 2008
- Marios M. Polycarpou:
Editorial: A New Era for the IEEE Transactions on Neural Networks. 1-2 - Vanessa Gómez-Verdejo
, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles. 3-17 - Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
MPCA: Multilinear Principal Component Analysis of Tensor Objects. 18-39 - Fernando Fernández, Pedro Isasi:
Local Feature Weighting in Nearest Prototype Classification. 40-53 - Rong-Jong Wai, Jeng-Dao Lee:
Adaptive Fuzzy-Neural-Network Control for Maglev Transportation System. 54-70 - Xinzhi Liu, Qing Wang:
Impulsive Stabilization of High-Order Hopfield-Type Neural Networks With Time-Varying Delays. 71-79 - Tomohisa Hayakawa, Wassim M. Haddad, Naira Hovakimyan:
Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees. 80-89 - Zheng Chen, Sarangapani Jagannathan:
Generalized Hamilton-Jacobi-Bellman Formulation -Based Neural Network Control of Affine Nonlinear Discrete-Time Systems. 90-106 - Youshen Xia, Mohamed S. Kamel:
A Generalized Least Absolute Deviation Method for Parameter Estimation of Autoregressive Signals. 107-118 - Jian Xun Peng, Kang Li, George W. Irwin:
A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks. 119-129 - Mehmet Gönen, Ayse Gönül Tanugur, Ethem Alpaydin:
Multiclass Posterior Probability Support Vector Machines. 130-139 - Zhaohui Yuan, Lihong Huang, Dewen Hu, Bingwen Liu:
Convergence of Nonautonomous Cohen-Grossberg-Type Neural Networks With Variable Delays. 140-147 - Manli Zhu, Aleix M. Martínez:
Pruning Noisy Bases in Discriminant Analysis. 148-157 - Lei Zhang, Zhang Yi, Jiali Yu:
Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions. 158-167 - A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski:
Unsupervised Segmentation With Dynamical Units. 168-182 - Mo Chen, Temujin Gautama, Danilo P. Mandic:
An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks. 183-189 - Qing Tao, Dejun Chu, Jue Wang:
Recursive Support Vector Machines for Dimensionality Reduction. 189-193 - Xia Hong, Sheng Chen, Chris J. Harris:
A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. 193-198 - D. Wang, G. Brown:
Computational Auditory Scene Analysis: Principles, Algorithms, and Applications. 199
Volume 19, Number 2, February 2008
- Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng:
Preliminary Study on Wilcoxon Learning Machines. 201-211 - Benny B. Nasution, Asad I. Khan:
A Hierarchical Graph Neuron Scheme for Real-Time Pattern Recognition. 212-229 - Ah-Hwee Tan, N. Lu, Dan Xiao:
Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback. 230-244 - Gary G. Yen, Zhen Wu:
Ranked Centroid Projection: A Data Visualization Approach With Self-Organizing Maps. 245-259 - Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. 260-272 - Zhishun Wang, Bradley S. Peterson:
Constrained Least Absolute Deviation Neural Networks. 273-283 - Juan Ignacio Mulero Martínez:
Best Approximation of Gaussian Neural Networks With Nodes Uniformly Spaced. 284-298 - Rudy Setiono, Bart Baesens, Christophe Mues:
Recursive Neural Network Rule Extraction for Data With Mixed Attributes. 299-307 - Derong Liu, Zhongyu Pang, Stephen R. Lloyd:
A Neural Network Method for Detection of Obstructive Sleep Apnea and Narcolepsy Based on Pupil Size and EEG. 308-318 - Wei Wu, Tianping Chen:
Global Synchronization Criteria of Linearly Coupled Neural Network Systems With Time-Varying Coupling. 319-332 - Renzo Perfetti, Elisa Ricci:
Recurrent Correlation Associative Memories: A Feature Space Perspective. 333-345 - Anke Meyer-Bäse, Vera Thümmler:
Local and Global Stability Analysis of an Unsupervised Competitive Neural Network. 346-351 - Yilei Wu, Qing Song, Sheng Liu:
A Normalized Adaptive Training of Recurrent Neural Networks With Augmented Error Gradient. 351-356 - Mehmet Fatih Amasyali, Okan K. Ersoy:
Cline: A New Decision-Tree Family. 356-363 - Loris Nanni, Alessandra Lumini:
Evolved Feature Weighting for Random Subspace Classifier. 363-366 - H. Zhang, Y. Wang:
Stability Analysis of Markovian Jumping Stochastic Cohen-Grossberg Neural Networks With Mixed Time Delays. 366-370 - Cheol-Taek Kim, Ju-Jang Lee:
Training Two-Layered Feedforward Networks With Variable Projection Method. 371-375 - Sergios Theodoridis, Konstantinos Koutroumbas:
Pattern Recognition. 376 - Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk:
Nearest-Neighbor Methods in Learning and Vision. 377
Volume 19, Number 3, March 2008
- Debrup Chakraborty, Nikhil R. Pal:
Selecting Useful Groups of Features in a Connectionist Framework. 381-396 - Xin-Ge Liu, Ralph R. Martin, Min Wu, Mei-Lan Tang:
Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays. 397-407 - Hualiang Li, Tülay Adali:
A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function. 408-420 - Petr Tichavský, Zbynek Koldovský, Arie Yeredor, Germán Gómez-Herrero, Eran Doron:
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach. 421-430 - Enrique Romero, Josep M. Sopena:
Performing Feature Selection With Multilayer Perceptrons. 431-441 - Dominik Brugger, Martin Bogdan, Wolfgang Rosenstiel:
Automatic Cluster Detection in Kohonen's SOM. 442-459 - Jianming Lian, Yonggon Lee, Scott D. Sudhoff, Stanislaw H. Zak:
Self-Organizing Radial Basis Function Network for Real-Time Approximation of Continuous-Time Dynamical Systems. 460-474 - Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems:
Two-Microphone Separation of Speech Mixtures. 475-492 - Chi-Sing Leung, J. P. F. Sum:
A Fault-Tolerant Regularizer for RBF Networks. 493-507 - Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan:
An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. 508-519 - Jinde Cao, Fengli Ren:
Exponential Stability of Discrete-Time Genetic Regulatory Networks With Delays. 520-523 - Ning Jin, Derong Liu:
Wavelet Basis Function Neural Networks for Sequential Learning. 523-528 - Yi Shen, Jun Wang:
An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks With Time-Varying Delays. 528-531 - Shaoshuai Mou, Huijun Gao, James Lam, Wenyi Qiang:
A New Criterion of Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time Delay. 532-535 - Rubin Wang, Zhikang Zhang, Guanrong Chen:
Energy Function and Energy Evolution on Neuronal Populations. 535-538 - Cristian Filici:
On a Neural Approximator to ODEs. 539-543 - George M. Georgiou:
Complex-Valued Neural Networks (Hirose, A.; 2006) [Book review]. 544
Volume 19, Number 4, April 2008
- Xuyang Lou, Baotong Cui:
Delay-Dependent Criteria for Global Robust Periodicity of Uncertain Switched Recurrent Neural Networks With Time-Varying Delay. 549-557 - Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. 558-570 - Haixian Wang, Sibao Chen, Zilan Hu, Wenming Zheng:
Locality-Preserved Maximum Information Projection. 571-585 - David Masip, Jordi Vitrià:
Shared Feature Extraction for Nearest Neighbor Face Recognition. 586-595 - Mike Novey, Tülay Adali:
Complex ICA by Negentropy Maximization. 596-609 - Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok:
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. 610-624 - A. Singh, Hiok Chai Quek, Siu-Yeung Cho:
DCT-Yager FNN: A Novel Yager-Based Fuzzy Neural Network With the Discrete Clustering Technique. 625-644 - Snorre Aunet, Bengt Oelmann, Per Andreas Norseng, Yngvar Berg:
Real-Time Reconfigurable Subthreshold CMOS Perceptron. 645-657 - Michael J. Mendenhall, Erzsébet Merényi:
Relevance-Based Feature Extraction for Hyperspectral Images. 658-672 - Changchun Hua, Xinping Guan:
Output Feedback Stabilization for Time-Delay Nonlinear Interconnected Systems Using Neural Networks. 673-688 - Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai:
PSECMAC: A Novel Self-Organizing Multiresolution Associative Memory Architecture. 689-712 - Yoshua Bengio, Jean-Sébastien Senecal:
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model. 713-722 - Luis González Abril, Cecilio Angulo, Francisco Velasco Morente, Juan Antonio Ortega:
A Note on the Bias in SVMs for Multiclassification. 723-725 - Tao Li, Lei Guo, Changyin Sun, Chong Lin:
Further Results on Delay-Dependent Stability Criteria of Neural Networks With Time-Varying Delays. 726-730 - Edgar N. Sánchez, Alma Y. Alanis:
Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches (Farrell, J.A. and Polycarpou, M.M. [Book review]. 731-732
Volume 19, Number 5, May 2008
- Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo:
Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. 737-745 - Huicheng Zheng, Grégoire Lefebvre, Christophe Laurent:
Fast-Learning Adaptive-Subspace Self-Organizing Map: An Application to Saliency-Based Invariant Image Feature Construction. 746-757 - Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang:
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. 758-769 - Josep Freixas, Xavier Molinero:
The Greatest Allowed Relative Error in Weights and Threshold of Strict Separating Systems. 770-781 - Bo Gao, Weinian Zhang:
Equilibria and Their Bifurcations in a Recurrent Neural Network Involving Iterates of a Transcendental Function. 782-794 - Huai-Ning Wu, Han-Xiong Li:
A Galerkin/Neural-Network-Based Design of Guaranteed Cost Control for Nonlinear Distributed Parameter Systems. 795-807 - Min Qi, G. Peter Zhang:
Trend Time-Series Modeling and Forecasting With Neural Networks. 808-816 - Qing Song, James C. Spall, Yeng Chai Soh, Jie Ni:
Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation. 817-835 - Stephan Trenn:
Multilayer Perceptrons: Approximation Order and Necessary Number of Hidden Units. 836-844 - Wenwu Yu, Jinde Cao, Guanrong Chen:
Stability and Hopf Bifurcation of a General Delayed Recurrent Neural Network. 845-854 - Huaguang Zhang, Zhanshan Wang, Derong Liu:
Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays. 855-873 - Stéphane Gazut, Jean-Marc Martinez, Gérard Dreyfus, Yacine Oussar:
Towards the Optimal Design of Numerical Experiments. 874-882 - Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada, Jaakko Astola:
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. 883-898 - Katherine L. Cameron, Alan F. Murray:
Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation. 899-913 - Randa Herzallah, David Lowe:
A Bayesian Perspective on Stochastic Neurocontrol. 914-924 - Wlodzislaw Duch:
Robot Brains. Circuits and Systems for Conscious Machines (P. Haikonen; 2007) [Book review]. 925-926
Volume 19, Number 6, June 2008
- Roman Ilin, Robert Kozma, Paul J. Werbos:
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. 929-937 - Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Hak-Keung Lam, Muhammad H. U. Nasir:
Global Convergence and Limit Cycle Behavior of Weights of Perceptron. 938-947 - Dong-Chul Park, Oh-Hyun Kwon, Jio Chung:
Centroid Neural Network With a Divergence Measure for GPDF Data Clustering. 948-957 - Kuo-Kai Shyu, Ming-Huan Lee, Yu-Te Wu, Po-Lei Lee:
Implementation of Pipelined FastICA on FPGA for Real-Time Blind Source Separation. 958-970 - Norikazu Takahashi, Jun Guo, Tetsuo Nishi:
Global Convergence of SMO Algorithm for Support Vector Regression. 971-982 - Yinyin Liu, Janusz A. Starzyk, Zhen Zhu:
Optimized Approximation Algorithm in Neural Networks Without Overfitting. 983-995 - Silvia Ferrari, Mark Jensenius:
A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training. 996-1009 - Yicong Meng, Bertram Emil Shi:
Adaptive Gain Control for Spike-Based Map Communication in a Neuromorphic Vision System. 1010-1021 - Hao Shen, Martin Kleinsteuber, Knut Hüper:
Local Convergence Analysis of FastICA and Related Algorithms. 1022-1032 - Claudio Turchetti, Paolo Crippa, Massimiliano Pirani, Giorgio Biagetti:
Representation of Nonlinear Random Transformations by Non-Gaussian Stochastic Neural Networks. 1033-1060 - Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov:
Incremental Learning of Chunk Data for Online Pattern Classification Systems. 1061-1074 - Jun Xu, Yong-Yan Cao, Youxian Sun, Jinshan Tang:
Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function. 1075-1089 - Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas:
Nonnegative Matrix Factorization in Polynomial Feature Space. 1090-1100 - Antony Browne, Angela Jakary, S. Vinogradov, Yu Fu, Raymond Deicken:
Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia. 1101-1107 - Alberto Faro, Daniela Giordano, Concetto Spampinato:
Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images. 1108-1129 - A. de Medeiros Brito, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Luiz Marcos Garcia Gonçalves:
An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds. 1130-1140 - Laxmidhar Behera, Swagat Kumar, Awhan Patnaik:
Corrections to "On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks" [Sep 06 1116-1125]. 1141 - Péter Érdi:
Neurodynamics of Cognition and Consciousness (Perlovsky, L.I. and Kozma, R., Eds.; 2007) [Book review]. 1142
Volume 19, Number 7, July 2008
- Cesare Alippi, Manuel Roveri:
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes. 1145-1153 - Dongbing Gu:
Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks. 1154-1166 - Yumao Lu, Vwani P. Roychowdhury, Lieven Vandenberghe:
Distributed Parallel Support Vector Machines in Strongly Connected Networks. 1167-1178 - Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy:
Fault-Tolerant Indirect Adaptive Neurocontrol for a Static Synchronous Series Compensator in a Power Network With Missing Sensor Measurements. 1179-1195 - Rafael Serrano-Gotarredona, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Carmen Serrano-Gotarredona, José Antonio Pérez-Carrasco, Bernabé Linares-Barranco, Alejandro Linares-Barranco, Gabriel Jiménez-Moreno, Antón Civit Balcells:
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing. 1196-1219 - Ting-Li Chien, Chung-Cheng Chen, Yi-Chieh Huang, Wen-Jiun Lin:
Stability and Almost Disturbance Decoupling Analysis of Nonlinear System Subject to Feedback Linearization and Feedforward Neural Network Controller. 1220-1230 - Ugur Yüzgeç, Yasar Becerikli, Mustafa Türker:
Dynamic Neural-Network-Based Model-Predictive Control of an Industrial Baker's Yeast Drying Process. 1231-1242 - Murad Abu-Khalaf, Frank L. Lewis, Jie Huang:
Neurodynamic Programmingand Zero-Sum Games for Constrained Control Systems. 1243-1252 - Kenji Nagata, Sumio Watanabe:
Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. 1253-1266 - Lipo Wang, Nina Zhou, Feng Chu:
A General Wrapper Approach to Selection of Class-Dependent Features. 1267-1278 - Chaomin Luo, Simon X. Yang:
A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments. 1279-1298 - Dong Yue, Yijun Zhang, Engang Tian, Chen Peng:
Delay-Distribution-Dependent Exponential Stability Criteria for Discrete-Time Recurrent Neural Networks With Stochastic Delay. 1299-1306 - Fei Wang, Changshui Zhang:
Semisupervised Learning Based on Generalized Point Charge Models. 1307-1311
Volume 19, Number 8, August 2008
- Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari:
Dynamics of Learning in Multilayer Perceptrons Near Singularities. 1313-1328 - He Huang, Gang Feng, Jinde Cao:
Robust State Estimation for Uncertain Neural Networks With Time-Varying Delay. 1329-1339 - Youshen Xia, Gang Feng, Jun Wang:
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints. 1340-1353 - Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. 1354-1368 - Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation. 1369-1388 - Eyal Kolman, Michael Margaliot:
A New Approach to Knowledge-Based Design of Recurrent Neural Networks. 1389-1401 - Gerardo Noriega:
A Neural Model for Compensation of Sensory Abnormalities in Autism Through Feedback From a Measure of Global Perception. 1402-1414 - Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas:
The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem. 1415-1430 - Shuning Wang, Xiaolin Huang, Junaid M. Khan:
Configuration of Continuous Piecewise-Linear Neural Networks. 1431-1445 - Liefeng Bo, Ling Wang, Licheng Jiao:
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm. 1446-1455 - Cristiano Cervellera, Danilo Macciò, Marco Muselli:
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. 1456-1467 - Nikolaos Gianniotis, Peter Tiño:
Visualization of Tree-Structured Data Through Generative Topographic Mapping. 1468-1493 - Lipo P. Wang, Chunru R. Wan:
Comments on "The Extreme Learning Machine". 1494-1495 - Guang-Bin Huang:
Reply to "Comments on "The Extreme Learning Machine"". 1495-1496 - Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi:
Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems". 1496-1498 - Daniel W. C. Ho, Junmin Li, Yugang Niu:
Reply to "Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems"". 1498 - Wlodzimierz Klonowski:
Complexity Explained (Erdi, P.; 2008) [Book review]. 1499
Volume 19, Number 9, September 2008
- Johan A. K. Suykens:
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point. 1501-1517 - Georg Pölzlbauer, Thomas Lidy, Andreas Rauber:
Decision Manifolds - A Supervised Learning Algorithm Based on Self-Organization. 1518-1530 - Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. 1531-1548 - Paolo Guarneri, Gianpiero Rocca, Massimiliano Gobbi:
A Neural-Network-Based Model for the Dynamic Simulation of the Tire/Suspension System While Traversing Road Irregularities. 1549-1563 - Sheng-Sung Yang, Sammy Siu, Chia-Lu Ho:
Analysis of the Initial Values in Split-Complex Backpropagation Algorithm. 1564-1573 - John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, Panos Liatsis, Xiao-Jun Zeng, Laurence P. J. Kenney, Philip A. Tresadern, Sibylle B. Thies, David Howard:
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. 1574-1582 - Carlos Alzate, Johan A. K. Suykens:
Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. 1583-1598 - Shuzhi Sam Ge, Chenguang Yang, Tong Heng Lee:
Adaptive Predictive Control Using Neural Network for a Class of Pure-Feedback Systems in Discrete Time. 1599-1614 - Hua Deng, Han-Xiong Li, Yi-Hu Wu:
Feedback-Linearization-Based Neural Adaptive Control for Unknown Nonaffine Nonlinear Discrete-Time Systems. 1615-1625 - Phill Rowcliffe, Jianfeng Feng:
Training Spiking Neuronal Networks With Applications in Engineering Tasks. 1626-1640 - Keem Siah Yap, Chee Peng Lim, I. Z. Abidi:
A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function. 1641-1646 - Hanyong Shao:
Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays. 1647-1651 - Zhenzhen Liu, Itamar Elhanany:
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent. 1652-1658 - Sheng Chen, Lajos Hanzo, Shuang Tan:
Symmetric Complex-Valued RBF Receiver for Multiple-Antenna-Aided Wireless Systems. 1659-1665
Volume 19, Number 10, October 2008
- M. P. Barbarosou, Nicholas G. Maratos:
A Nonfeasible Gradient Projection Recurrent Neural Network for Equality-Constrained Optimization Problems. 1665-1677 - Heejin Lim, Yoonsuck Choe:
Extrapolative Delay Compensation Through Facilitating Synapses and Its Relation to the Flash-Lag Effect. 1678-1688 - Wei Zuo, Lilong Cai:
Adaptive-Fourier-Neural-Network-Based Control for a Class of Uncertain Nonlinear Systems. 1689-1701 - Naira Hovakimyan, Eugene Lavretsky, Chengyu Cao:
Adaptive Dynamic Inversion via Time-Scale Separation. 1702-1711 - Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi:
Adaptive Output Feedback Control of Flexible-Joint Robots Using Neural Networks: Dynamic Surface Design Approach. 1712-1726 - Haibo He, Sheng Chen:
IMORL: Incremental Multiple-Object Recognition and Localization. 1727-1738 - Luca Geretti, Antonio Abramo:
The Correspondence Between Deterministic and Stochastic Digital Neurons: Analysis and Methodology. 1739-1752 - Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky:
A New Solution Path Algorithm in Support Vector Regression. 1753-1767 - Shuiwang Ji, Jieping Ye:
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection. 1768-1782 - Xun-Lin Zhu, Guang-Hong Yang:
New Delay-Dependent Stability Results for Neural Networks With Time-Varying Delay. 1783-1791 - Xun Liang, Rong-Chang Chen, Xinyu Guo:
Pruning Support Vector Machines Without Altering Performances. 1792-1803 - Giovanni Costantini, Renzo Perfetti, Massimiliano Todisco:
Quasi-Lagrangian Neural Network for Convex Quadratic Optimization. 1804-1809 - Tianping Chen, Wei Wu, Wenjuan Zhou:
Global mu -Synchronization of Linearly Coupled Unbounded Time-Varying Delayed Neural Networks With Unbounded Delayed Coupling. 1809-1816 - Enric Farguell, Ferran Mazzanti, Eduardo Gómez-Ramírez:
Boltzmann Machines Reduction by High-Order Decimation. 1816-1821 - Xianchao Xie, Shuicheng Yan, James T. Kwok, Thomas S. Huang:
Matrix-Variate Factor Analysis and Its Applications. 1821-1826 - Olvi L. Mangasarian, Edward W. Wild:
Nonlinear Knowledge-Based Classification. 1826-1832 - Hakan Cevikalp, Robi Polikar:
Local Classifier Weighting by Quadratic Programming. 1832-1838 - Francesco Gianfelici:
Nonlinear Dynamic Modeling of Physiological Systems (Marmarellis, V.Z.; 2004) [Book review]. 1839-1840
Volume 19, Number 11, November 2008
- Qing Song, Yi-Lei Wu, Yeng Chai Soh:
Robust Adaptive Gradient-Descent Training Algorithm for Recurrent Neural Networks in Discrete Time Domain. 1841-1853 - François Bertrand Akoa:
Combining DC Algorithms (DCAs) and Decomposition Techniques for the Training of Nonpositive-Semidefinite Kernels. 1854-1872 - Chenguang Yang, Shuzhi Sam Ge, Cheng Xiang, Tianyou Chai, Tong Heng Lee:
Output Feedback NN Control for Two Classes of Discrete-Time Systems With Unknown Control Directions in a Unified Approach. 1873-1886 - Rodrigo C. de Lamare, Raimundo Sampaio Neto:
Space-Time Adaptive Decision Feedback Neural Receivers With Data Selection for High-Data-Rate Users in DS-CDMA Systems. 1887-1895 - Adnan Khashman:
A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients. 1896-1909 - Jinling Liang, Zidong Wang, Yurong Liu, Xiaohui Liu:
Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks. 1910-1921 - Davide Bacciu, Antonina Starita:
Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering. 1922-1941 - Huaguang Zhang, Zhanshan Wang, Derong Liu:
Robust Stability Analysis for Interval Cohen-Grossberg Neural Networks With Unknown Time-Varying Delays. 1942-1955 - Jianhua Zhao, Philip L. H. Yu:
Fast ML Estimation for the Mixture of Factor Analyzers via an ECM Algorithm. 1956-1961 - Xia Hong, Sheng Chen, Chris J. Harris:
A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. 1961-1967 - Bo Liu, Tianping Chen:
Consensus in Networks of Multiagents With Cooperation and Competition Via Stochastically Switching Topologies. 1967-1973 - Shih-Hau Fang, Tsung-Nan Lin:
Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments. 1973-1978 - Umut Ozertem, Ismail Uysal, Deniz Erdogmus:
Continuously Differentiable Sample-Spacing Entropy Estimation. 1978-1984 - Kai Labusch, Erhardt Barth, Thomas Martinetz:
Simple Method for High-Performance Digit Recognition Based on Sparse Coding. 1985-1989 - Cecilio Angulo:
Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews]. 1990 - Francesco Gianfelici:
Numerical Solutions of Stochastic Differential Equations (Kloeden, P.K. and Platen, E.; 2008) [Book reviews]. 1991
Volume 19, Number 12, December 2008
- Ashok Patel, Bart Kosko:
Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise. 1993-2008 - Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Shengli Xie, Cuntai Guan:
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. 2009-2021 - Xiaolin Hu, Jun Wang:
An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. 2022-2031 - Jiann-Ming Wu:
Multilayer Potts Perceptrons With Levenberg-Marquardt Learning. 2032-2043 - Bo Liu, Zhifeng Hao, Eric C. C. Tsang:
Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. 2044-2052 - Cesare Alippi, Manuel Roveri:
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier. 2053-2064 - Jianbo Liu, Dragan Djurdjanovic:
Topology Preservation and Cooperative Learning in Identification of Multiple Model Systems. 2065-2072 - Sarangapani Jagannathan, Pingan He:
Neural-Network-Based State Feedback Control of a Nonlinear Discrete-Time System in Nonstrict Feedback Form. 2073-2087 - Jian Yang, Chengjun Liu:
Color Image Discriminant Models and Algorithms for Face Recognition. 2088-2098 - De-Shuang Huang, Ji-Xiang Du:
A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks. 2099-2115 - Lei Wang, Kap Luk Chan, Ping Xue, Luping Zhou:
A Kernel-Induced Space Selection Approach to Model Selection in KLDA. 2116-2131 - Hong Pan, Liang-Zheng Xia:
Efficient Object Recognition Using Boundary Representation and Wavelet Neural Network. 2132-2149 - Andreas Brandstetter, Alessandro Artusi:
Radial Basis Function Networks GPU-Based Implementation. 2150-2154 - Wu-Hua Chen, Wei Xing Zheng:
Improved Delay-Dependent Asymptotic Stability Criteria for Delayed Neural Networks. 2154-2161
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