Fuliang Yin , Jun Wang , Chengan Guo (Eds.):
Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I.
Lecture Notes in Computer Science 3173 Springer 2004, ISBN 3-540-22841-1 Theoretical Analysis
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conf/isnn/KoroutchevDSR04 export record as
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Huaguang Zhang ,
Gang Wang :
A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays.
49-54
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Kun Yuan ,
Jinde Cao :
Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays.
78-83
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Lin Wang :
Stability of Stochastic Cohen-Grossberg Neural Networks.
84-89
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Yong Chen ,
Xiaofeng Liao :
Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay.
120-125
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Learning and Optimization
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Jian Yu ,
Pengwei Hao :
On Soft Learning Vector Quantization Based on Reformulation.
168-173
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Masaharu Adachi :
Surrogating Neurons in an Associative Chaotic Neural Network.
217-222
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conf/isnn/Hernandez-EspinosaFT04 export record as
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conf/isnn/Fernandez-RedondoHOT04 export record as
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Weijiang Long ,
Wenxiu Zhang :
Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm.
244-251
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Lijun Liu ,
Wei Wu :
Finite Convergence of MRI Neural Network for Linearly Separable Training Patterns.
282-285
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Lingyun Hu ,
Zengqi Sun :
A Rapid Two-Step Learning Algorithm for Spline Activation Function Neural Networks with the Application on Biped Gait Recognition.
286-292
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Fang Liu ,
Jianbo Su :
An Online Feature Learning Algorithm Using HCI-Based Reinforcement Learning.
293-298
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Chengan Guo ,
Anthony Kuh :
An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations.
370-376
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Support Vector Machines
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Baoqing Li :
Distance-Based Selection of Potential Support Vectors by Kernel Matrix.
468-473
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Yimin Wen ,
Bao-Liang Lu :
A Cascade Method for Reducing Training Time and the Number of Support Vectors.
480-486
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Tao Wu ,
Hanqing Zhao :
Constructing Support Vector Classifiers with Unlabeled Data.
494-499
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Xiang Wu ,
Wenkai Lu :
Nested Buffer SMO Algorithm for Training Support Vector Classifiers.
500-505
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Chan-Yun Yang :
Support Vector Classifier with a Fuzzy-Value Class Label.
506-511
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Hongwei Liu ,
Zheng Bao :
Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation Kernel.
531-536
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Li Zhang ,
Yugeng Xi :
Nonlinear System Identification Based on an Improved Support Vector Regression Estimator.
586-591
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Blind Source Separation, Independent Component Analysis and Principal Component Analysis
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Xiaojiang Ma ,
Zhihua Hao :
Multisensor Data Fusion Based on Independent Component Analysis for Fault Diagnosis of Rotor.
744-749
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Fei Liu ,
Zhong-Gai Zhao :
Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis.
798-803
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Mao Ye ,
Zhang Yi :
On the Discrete Time Dynamics of the MCA Neural Networks.
815-821
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Clustering and Classification
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Xuelei Hu ,
Lei Xu :
Automatic Cluster Number Determination via BYY Harmony Learning.
828-833
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conf/isnn/Fernandez-RedondoHT04 export record as
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conf/isnn/Hernandez-EspinosaFT04a export record as
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Shuiping Gou ,
Licheng Jiao :
SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming.
918-923
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Ling Bai ,
Ping Guo :
A Novel Approach to Stellar Recognition by Combining EKF and RBF Net.
1002-1007
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Zhao Zhang :
Neural Network Associator for Images and Their Chinese Characters.
1021-1024
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