default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Neural Networks, Volume 18
Volume 18, Number 1, January 2007
- Yuh-Jye Lee
, Su-Yun Huang:
Reduced Support Vector Machines: A Statistical Theory. 1-13 - Orlando De Jesus, Martin T. Hagan:
Backpropagation Algorithms for a Broad Class of Dynamic Networks. 14-27 - Xia Hong, Sheng Chen, Chris J. Harris:
A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. 28-41 - Abhijeet V. Nandedkar, Prabir K. Biswas:
A Fuzzy Min-Max Neural Network Classifier With Compensatory Neuron Architecture. 42-54 - Zhi-Hong Mao, Steve G. Massaquoi:
Dynamics of Winner-Take-All Competition in Recurrent Neural Networks With Lateral Inhibition. 55-69 - Andrzej W. Przybyszewski, Paul S. Linsay, Paolo Gaudiano, Christopher M. Wilson:
Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina. 70-85 - Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti:
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. 86-96 - Abd-Krim Seghouane, Shun-ichi Amari:
The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence. 97-106 - Randa Herzallah, David Lowe:
Distribution Modeling of Nonlinear Inverse Controllers Under a Bayesian Framework. 107-114 - Jian-Xin Xu, Ying Tan:
Nonlinear Adaptive Wavelet Control Using Constructive Wavelet Networks. 115-127 - Kynan E. Graves, Romesh Nagarajah:
Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification. 128-140 - Dit-Yan Yeung, Hong Chang:
A Kernel Approach for Semisupervised Metric Learning. 141-149 - Jianming Lu, Xue Yuan, Takashi Yahagi:
A Method of Face Recognition Based on Fuzzy c-Means Clustering and Associated Sub-NNs. 150-160 - Stefano Ferrari, Giancarlo Ferrigno, Vincenzo Piuri, N. Alberto Borghese:
Reducing and Filtering Point Clouds With Enhanced Vector Quantization. 161-177 - Yi-Hung Liu, Yen-Ting Chen:
Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines. 178-192 - Ramazan Gencay, Rajna Gibson:
Model Risk for European-Style Stock Index Options. 193-202 - Puneet Singla, Kamesh Subbarao, John L. Junkins:
Direction-Dependent Learning Approach for Radial Basis Function Networks. 203-222 - Tom Auld, Andrew W. Moore, Stephen F. Gull:
Bayesian Neural Networks for Internet Traffic Classification. 223-239 - Antony W. Savich, Medhat Moussa, Shawki Areibi:
The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study. 240-252 - R. Jacob Vogelstein, Udayan Mallik, Joshua T. Vogelstein, Gert Cauwenberghs:
Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses. 253-265 - Koldo Basterretxea, José Manuel Tarela, Inés del Campo, Guillermo Bosque:
An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design. 266-283 - Ki Young Lee, Dae-Won Kim, Kwang Hyung Lee, Doheon Lee:
Density-Induced Support Vector Data Description. 284-289 - Yiu-ming Cheung, Lap-Tak Law:
Rival-Model Penalized Self-Organizing Map. 289-295 - Yiguang Liu, Zhisheng You, Liping Cao:
On the Almost Periodic Solution of Cellular Neural Networks With Distributed Delays. 295-300 - Olvi L. Mangasarian, Edward W. Wild:
Nonlinear Knowledge in Kernel Approximation. 300-306 - Stephen A. Billings, Hua-Liang Wei:
Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information. 306-310 - Yong He, Guo-Ping Liu, David Rees:
New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay. 310-314
Volume 18, Number 2, March 2007
- Victor Boyarshinov, Malik Magdon-Ismail:
Efficient Optimal Linear Boosting of a Pair of Classifiers. 317-328 - Son Lam Phung, Abdesselam Bouzerdoum:
A Pyramidal Neural Network For Visual Pattern Recognition. 329-343 - Janusz A. Starzyk, Haibo He:
Anticipation-Based Temporal Sequences Learning in Hierarchical Structure. 344-358 - Zhiwei Shi, Min Han:
Support Vector Echo-State Machine for Chaotic Time-Series Prediction. 359-372 - Aydogan Savran:
Multifeedback-Layer Neural Network. 373-384 - Sitao Wu, Tommy W. S. Chow:
Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization. 385-396 - Juyang Weng, Wey-Shiuan Hwang:
Incremental Hierarchical Discriminant Regression. 397-415 - Jinde Cao, Min Xiao:
Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time Delays. 416-430 - Kian Hong Quah, Chai Quek:
MCES: A Novel Monte Carlo Evaluative Selection Approach for Objective Feature Selections. 431-448 - Guido Herrmann, Matthew C. Turner, Ian Postlethwaite:
Performance-Oriented Antiwindup for a Class of Linear Control Systems With Augmented Neural Network Controller. 449-465 - Zeng-Guang Hou, Madan M. Gupta, Peter N. Nikiforuk, Min Tan, Long Cheng:
A Recurrent Neural Network for Hierarchical Control of Interconnected Dynamic Systems. 466-481 - Nakwan Kim, Anthony J. Calise:
Several Extensions in Methods for Adaptive Output Feedback Control. 482-494 - Changchun Hua, Xinping Guan, Peng Shi:
Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network. 495-505 - Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification. 506-519 - Christoph Rasche:
Neuromorphic Excitable Maps for Visual Processing. 520-529 - Keun Chang Kwak, Witold Pedrycz:
Face Recognition Using an Enhanced Independent Component Analysis Approach. 530-541 - Rami Rom, Jacob Erel, Michael Glikson, Randy A. Lieberman, Kobi Rosenblum, Ofer Binah, Ran Ginosar, David L. Hayes:
Adaptive Cardiac Resynchronization Therapy Device Based on Spiking Neurons Architecture and Reinforcement Learning Scheme. 542-550 - Philipp Häfliger:
Adaptive WTA With an Analog VLSI Neuromorphic Learning Chip. 551-572 - Xiaolong Ma, Konstantin Likharev:
Global Reinforcement Learning in Neural Networks. 573-577 - Daewon Lee, Jaewook Lee:
Equilibrium-Based Support Vector Machine for Semisupervised Classification. 578-583 - Evaldo Araújo de Oliveira:
The Rosenblatt Bayesian Algorithm Learning in a Nonstationary Environment. 584-588 - Rashad Sharaf, Aboelmagd Noureldin:
Sensor Integration for Satellite-Based Vehicular Navigation Using Neural Networks. 589-594 - Ying Song, Zengqiang Chen, Zhuzhi Yuan:
New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process. 595-601 - Srimanta Pal, Sabyasachi Hattacharya:
Neurocomputing Model for Computation of an Approximate Convex Hull of a Set of Points and Spheres. 600-605 - Anthony Kuh, Philippe De Wilde:
Comments on "Pruning Error Minimization in Least Squares Support Vector Machines". 606-609 - Nicol N. Schraudolph:
Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates" [Jul 04 828-837]. 609 - Francesco Camastra:
Image Processing: Principles and Applications [book review]. 610 - Danil V. Prokhorov:
Intelligent Control Systems Using Computational Intelligence [book review]. 611-612
Volume 18, Number 3, May 2007
- Cong Wang, David J. Hill:
Deterministic Learning and Rapid Dynamical Pattern Recognition. 617-630 - Thomas Hanselmann, Lyle Noakes, Anthony Zaknich:
Continuous-Time Adaptive Critics. 631-647 - Stephen B. Furber, Gavin Brown, Joy Bose, J. Mike Cumpstey, P. Marshall, Jonathan L. Shapiro:
Sparse Distributed Memory Using Rank-Order Neural Codes. 648-659 - Krzysztof Patan:
Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks. 660-673 - Xindi Cai, Danil V. Prokhorov, Donald C. Wunsch II:
Training Winner-Take-All Simultaneous Recurrent Neural Networks. 674-684 - Licheng Jiao, Liefeng Bo, Ling Wang:
Fast Sparse Approximation for Least Squares Support Vector Machine. 685-697 - Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov:
Boolean Factor Analysis by Attractor Neural Network. 698-707 - Chih-Min Lin, Li-Yang Chen, Chiu-Hsiung Chen:
RCMAC Hybrid Control for MIMO Uncertain Nonlinear Systems Using Sliding-Mode Technology. 708-720 - Hong-Sen Yan, Duo Xu:
An Approach to Estimating Product Design Time Based on Fuzzy nu-Support Vector Machine. 721-731 - Tetsuya Hoya, Yoshikazu Washizawa:
Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory Networks. 732-744 - Constantinos Constantinopoulos, Aristidis Likas:
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. 745-755 - Xiaoyan Mu, Paul Watta, Mohamad H. Hassoun:
A Weighted Voting Model of Associative Memory. 756-777 - James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada:
A Class of Single-Class Minimax Probability Machines for Novelty Detection. 778-785 - Erzsébet Merényi, Abha Jain, Thomas Villmann:
Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data. 786-797 - Aristeidis Diplaros, Nikos Vlassis, Theo Gevers:
A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. 798-808 - Frédéric Vrins, John Aldo Lee, Michel Verleysen:
A Minimum-Range Approach to Blind Extraction of Bounded Sources. 809-822 - Bor-Shyh Lin, Bor-Shing Lin, Fok-Ching Chong, Feipei Lai:
Higher-Order-Statistics-Based Radial Basis Function Networks for Signal Enhancement. 823-832 - Chia-Feng Juang, Chyi-Tian Chiou, Chun-Lung Lai:
Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech Recognition. 833-843 - Emad A. El-Sebakhy, Ali S. Hadi, Kanaan A. Faisal:
Iterative Least Squares Functional Networks Classifier. 844-850 - Yung-Keun Kwon, Byung Ro Moon:
A Hybrid Neurogenetic Approach for Stock Forecasting. 851-864 - Juan Ignacio Mulero Martínez:
An Improved Dynamic Neurocontroller Based on Christoffel Symbols. 865-879 - S. Himavathi, D. Anitha, A. Muthuramalingam:
Feedforward Neural Network Implementation in FPGA Using Layer Multiplexing for Effective Resource Utilization. 880-888 - Russell W. Duren, Robert J. Marks II, Paul D. Reynolds, Matthew L. Trumbo:
Real-Time Neural Network Inversion on the SRC-6e Reconfigurable Computer. 889-901 - Evaldo Araújo de Oliveira, Roberto Castro Alamino:
Performance of the Bayesian Online Algorithm for the Perceptron. 902-905 - Chong Wang:
Variational Bayesian Approach to Canonical Correlation Analysis. 905-910 - Jiancheng Lv, Zhang Yi, Kok Kiong Tan:
Determination of the Number of Principal Directions in a Biologically Plausible PCA Model. 910-916 - Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
A Convex Approach to Validation-Based Learning of the Regularization Constant. 917-920 - Yue Fu, Tianyou Chai:
Neural-Network-Based Nonlinear Adaptive Dynamical Decoupling Control. 921-925 - Eyal Kolman, Michael Margaliot:
Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem. 925-931 - Dalong Li, Russell M. Mersereau, Steven J. Simske:
Blind Image Deconvolution Through Support Vector Regression. 931-935 - Gavin C. Cawley:
An Empirical Evaluation of the Fuzzy Kernel Perceptron. 935-937 - Ivan Jordanov, Antoniya Georgieva:
Neural Network Learning With Global Heuristic Search. 937-942 - Peter Williams, Sheng Li, Jianfeng Feng, Si Wu:
A Geometrical Method to Improve Performance of the Support Vector Machine. 942-947 - Huaguang Zhang, Zhanshan Wang:
Global Asymptotic Stability of Delayed Cellular Neural Networks. 947-950 - Amir F. Atiya, Sung Goo Yoo, Kil To Chong, Hyongsuk Kim:
Packet Loss Rate Prediction Using the Sparse Basis Prediction Model. 950-954 - Christian Mayr, Arne Heittmann, René Schüffny:
Gabor-Like Image Filtering Using a Neural Microcircuit. 955-959 - Enrique Romero, Daniel Toppo:
Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights. 959-963
Volume 18, Number 4, July 2007
- Frank L. Lewis, Jie Huang, Thomas Parisini, Danil V. Prokhorov, Donald C. Wunsch II:
Guest Editorial Special Issue on Neural Networks for Feedback Control Systems. 969-972 - Xin Xu, Dewen Hu, Xicheng Lu:
Kernel-Based Least Squares Policy Iteration for Reinforcement Learning. 973-992 - Charles W. Anderson, Peter Michael Young, Michael R. Buehner, James N. Knight, K. A. Bush, Douglas C. Hittle:
Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks. 993-1002 - Danil V. Prokhorov:
Training Recurrent Neurocontrollers for Real-Time Applications. 1003-1015 - Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra:
SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control. 1016-1030 - Yuval Tassa, Tom Erez:
Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators. 1031-1041 - Seul Jung, Hyun Taek Cho, Tien C. Hsia:
Neural Network Control for Position Tracking of a Two-Axis Inverted Pendulum System: Experimental Studies. 1042-1048 - Wassim M. Haddad, James M. Bailey, Tomohisa Hayakawa, Naira Hovakimyan:
Neural Network Adaptive Output Feedback Control for Intensive Care Unit Sedation and Intraoperative Anesthesia. 1049-1066 - Adam Papadimitropoulos, George A. Rovithakis, Thomas Parisini:
Fault Detection in Mechanical Systems With Friction Phenomena: An Online Neural Approximation Approach. 1067-1082 - Jonathan Blake Vance, Atmika Singh, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels. 1083-1100 - Guillaume Colin, Yann Chamaillard, Gérard Bloch, Gilles Corde:
Neural Control of Fast Nonlinear Systems- Application to a Turbocharged SI Engine With VCT. 1101-1114 - Vivek Yadav, Radhakant Padhi, Sivasubramanya Nadar Balakrishnan:
Robust/Optimal Temperature Profile Control of a High-Speed Aerospace Vehicle Using Neural Networks. 1115-1128 - Shuzhi Sam Ge, Thanh-Trung Han:
Semiglobal ISpS Disturbance Attenuation With Output Tracking via Direct Adaptive Design. 1129-1148 - Bong-Jun Yang, Anthony J. Calise:
Adaptive Control of a Class of Nonaffine Systems Using Neural Networks. 1149-1159 - Chengyu Cao, Naira Hovakimyan:
Novel L1 Neural Network Adaptive Control Architecture With Guaranteed Transient Performance. 1160-1171 - Luca Scardovi, Marco Baglietto, Thomas Parisini:
Active State Estimation for Nonlinear Systems: A Neural Approximation Approach. 1172-1184 - Alma Y. Alanis, Edgar N. Sánchez, Alexander G. Loukianov:
Discrete-Time Adaptive Backstepping Nonlinear Control via High-Order Neural Networks. 1185-1195 - Weiyao Lan, Jie Huang:
Neural-Network-Based Approximate Output Regulation of Discrete-Time Nonlinear Systems. 1196-1208 - Guoli Wang, You Fu Li, D. X. Bi:
Support Vector Networks in Adaptive Friction Compensation. 1209-1219 - Yuanyuan Zhao, Jay A. Farrell:
Self-Organizing Approximation-Based Control for Higher Order Systems. 1220-1231 - Chun-Fei Hsu:
Self-Organizing Adaptive Fuzzy Neural Control for a Class of Nonlinear Systems. 1232-1241 - Joaquin Sitte, Liang Zhang, Ulrich Rückert:
Characterization of Analog Local Cluster Neural Network Hardware for Control. 1242-1253 - William Holderbaum:
Application of Neural Network to Hybrid Systems With Binary Inputs. 1254-1261
Volume 18, Number 5, September 2007
- Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil:
DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. 1265-1279 - Sheng-Sung Yang, Chia-Lu Ho, Sammy Siu:
Sensitivity Analysis of the Split-Complex Valued Multilayer Perceptron Due to the Errors of the i.i.d. Inputs and Weights. 1280-1293 - Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. 1294-1305 - Dinani Gomes Amorim, Manuel Fernández Delgado, Senén Barro Ameneiro:
Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories. 1306-1325 - Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii:
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. 1326-1342 - Pingzhou Liu, Qing-Long Han:
Discrete-Time Analogs for a Class of Continuous-Time Recurrent Neural Networks. 1343-1355 - Silvia Ghilezan, Jovanka Pantovic, Jovisa D. Zunic:
Separating Points by Parallel Hyperplanes - Characterization Problem. 1356-1363 - Zhidong Deng, Yi Zhang:
Collective Behavior of a Small-World Recurrent Neural System With Scale-Free Distribution. 1364-1375 - Meiqin Liu:
Delayed Standard Neural Network Models for Control Systems. 1376-1391 - Vahram Stepanyan, Naira Hovakimyan:
Robust Adaptive Observer Design for Uncertain Systems With Bounded Disturbances. 1392-1403 - Gregor Gregorcic, Gordon Lightbody:
Local Model Network Identification With Gaussian Processes. 1404-1423 - Tao Song, Mo M. Jamshidi, Roland R. Lee, Mingxiong Huang:
A Modified Probabilistic Neural Network for Partial Volume Segmentation in Brain MR Image. 1424-1432 - José M. Leiva-Murillo, Antonio Artés-Rodríguez:
Maximization of Mutual Information for Supervised Linear Feature Extraction. 1433-1441 - Shu Yang, Shuicheng Yan, Chao Zhang, Xiaoou Tang:
Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction. 1442-1452 - Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang:
Weighted Mahalanobis Distance Kernels for Support Vector Machines. 1453-1462 - Bratati Banerjee:
String Tightening as a Self-Organizing Phenomenon. 1463-1471 - Martin J. Pearson, Anthony G. Pipe, Benjamin Mitchinson, Kevin N. Gurney, Chris Melhuish, Ian Gilhespy, Mokhtar Nibouche:
Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach. 1472-1487 - Nitish D. Patel, Sing Kiong Nguang, George G. Coghill:
Neural Network Implementation Using Bit Streams. 1488-1504 - Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Analysis and Online Realization of the CCA Approach for Blind Source Separation. 1505-1510 - Su Lee Goh, Danilo P. Mandic:
Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size. 1511-1516 - Zhenwei Shi, Changshui Zhang:
Blind Source Extraction Using Generalized Autocorrelations. 1516-1524 - Diego Vidaurre, Jorge Muruzábal:
A Quick Assessment of Topology Preservation for SOM Structures. 1524-1528 - Aapo Hyvärinen:
Connections Between Score Matching, Contrastive Divergence, and Pseudolikelihood for Continuous-Valued Variables. 1529-1531 - De-Shuang Huang, Jian-Xun Mi:
A New Constrained Independent Component Analysis Method. 1532-1535 - Xuemei Ren, Ahmad B. Rad:
Identification of Nonlinear Systems With Unknown Time Delay Based on Time-Delay Neural Networks. 1536-1541 - Liefeng Bo, Licheng Jiao, Ling Wang:
Working Set Selection Using Functional Gain for LS-SVM. 1541-1544 - Michael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis:
A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task. 1545-1549 - Christof Teuscher:
FPGA Implementations of Neural Networks (Ormondi. A.R. and Rajapakse, J.C., Eds.; 2006). 1550 - Eulalia Szmidt:
Uncertainty and Information: Foundations of Generalized Information Theory (Klir, G.J.; 2006). 1551
Volume 18, Number 6, November 2007
- Jiancheng Lv, Zhang Yi, Kok Kiong Tan:
Global Convergence of GHA Learning Algorithm With Nonzero-Approaching Adaptive Learning Rates. 1557-1571 - Zhihua Zhang, Gang Wu, Edward Y. Chang:
Semiparametric Regression Using Student t Processes. 1572-1588 - Chih-Jen Lin:
On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization. 1589-1596 - Mahmood R. Azimi-Sadjadi, Jaime Salazar, Saravana Srinivasan, Sassan Sheedvash:
An Adaptable Connectionist Text-Retrieval System With Relevance Feedback. 1597-1613 - Dubravko Culibrk, Oge Marques, Daniel Socek, Hari Kalva, Borko Furht:
Neural Network Approach to Background Modeling for Video Object Segmentation. 1614-1627 - Boaz Vigdor, Boaz Lerner:
The Bayesian ARTMAP. 1628-1644 - Alex Leng Phuan Tay, Jacek M. Zurada, Lai-Ping Wong, Jian Xu:
The Hierarchical Fast Learning Artificial Neural Network (HieFLANN) - An Autonomous Platform for Hierarchical Neural Network Construction. 1645-1657 - Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Chai Quek:
Hierarchically Clustered Adaptive Quantization CMAC and Its Learning Convergence. 1658-1682 - John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook:
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation. 1683-1696 - Xiaolin Hu, Jun Wang:
Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks. 1697-1708 - Yuanyuan Zhao, Jay A. Farrell:
Locally Weighted Online Approximation-Based Control for Nonaffine Systems. 1709-1724 - Tao Cheng, Frank L. Lewis, Murad Abu-Khalaf:
Fixed-Final-Time-Constrained Optimal Control of Nonlinear Systems Using Neural Network HJB Approach. 1725-1737 - Sheng Uei Guan, Chunyu Bao, TseNgee Neo:
Reduced Pattern Training Based on Task Decomposition Using Pattern Distributor. 1738-1749 - Wei Jiang, Seong G. Kong:
Block-Based Neural Networks for Personalized ECG Signal Classification. 1750-1761 - Esa Alhoniemi, Antti Honkela, Krista Lagus, Santeri Jeremias Seppä, Paul Wagner, Harri Valpola:
Compact Modeling of Data Using Independent Variable Group Analysis. 1762-1776 - Dezhong Peng, Zhang Yi:
Dynamics of Generalized PCA and MCA Learning Algorithms. 1777-1784 - Kyriakos Voutsas, Jürgen Adamy:
A Biologically Inspired Spiking Neural Network for Sound Source Lateralization. 1785-1799 - G. Peter Zhang, Douglas M. Kline:
Quarterly Time-Series Forecasting With Neural Networks. 1800-1814 - John V. Arthur, Kwabena A. Boahen:
Synchrony in Silicon: The Gamma Rhythm. 1815-1825 - S. Sathiya Keerthi, Shirish K. Shevade:
A Fast Tracking Algorithm for Generalized LARS/LASSO. 1826-1830 - Haris E. Psillakis, Antonio T. Alexandridis:
NN-Based Adaptive Tracking Control of Uncertain Nonlinear Systems Disturbed by Unknown Covariance Noise. 1830-1835 - Tianping Chen, Lili Wang:
Global µ-Stability of Delayed Neural Networks With Unbounded Time-Varying Delays. 1836-1840 - Huaguang Zhang, Yinghui Xie, Zhiliang Wang, Chengde Zheng:
Adaptive Synchronization Between Two Different Chaotic Neural Networks With Time Delay. 1841-1845 - Merih Yildiz, Shahram Minaei, Izzet Cem Göknar:
A CMOS Classifier Circuit Using Neural Networks With Novel Architecture. 1845-1849 - Yong He, Guo-Ping Liu, David Rees, Min Wu:
Stability Analysis for Neural Networks With Time-Varying Interval Delay. 1850-1854 - Leonid I. Perlovsky, Ross W. Deming:
Neural Networks for Improved Tracking. 1854-1857 - Yi Shen, Jun Wang:
Noise-Induced Stabilization of the Recurrent Neural Networks With Mixed Time-Varying Delays and Markovian-Switching Parameters. 1857-1862 - Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". 1862-1864
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 01:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
