神经计算进展 第1部分
2005-9
北京燕山出版社
Lipo Wang 著
1301
The three volume set LNCS 3610, LNCS 3611, and LNCS 3612 constitutes the refereed proceedings of the First International Conference on Natural Computation, ICNC 2005, held in Changsha, China, in August 2005 as a joint event in federation with the Second International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2005 (LNAI volumes 3613 and 3614).
Neural Network Learning Algorithms A Novel Learning Algorithm for Wavelet Neural Networks Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network The Improved CMAC Model and Learning Result Analysis A New Smooth Support Vector Regression Based on c-Insensitive Logistic Loss Function Neural Network Classifier Based on the Features of Multi-lead ECG A New Learning Algorithm for Diagonal Recurrent Neural Network Study of On-Line Weighted Least Globally Exponential Stability Exponential Convergence Rate Time Varying Delays Squares Support Vector Machines Analysis and Estimation of the for Neural Networks with Multiple Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence Fuzzy Self-organizing Map Neural Network Using Kernel PCA and the Application An Evolved Recurrent Neural Network and Its Application Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction Active Learning for Probabilistic Neural Networks Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps A Novel Intrusions Detection Method Based on HMM Embedded Neural Network Generate Different Neural Networks by Negative Correlation Learning New Training Method and Optimal Structure of Backpropagation Networks Learning Outliers to Refine a Corpus for Chinese Webpage Categorization Bio-kernel Self-organizing Map for HIV Drug Resistance Classification A New Learning Algorithm Based on Lever Principle An Effective Method to Improve Convergence for Sequential Blind Source Separation A Novel LDA Approach for High-Dimensional Data Research and Design of Distributed Neural Networks with Chip Training Algorithm……Neural Network ArchitecturesNeurodynamicsStatistical Neural Network Models and Support Vector machinessOther Topics in Neural Network ModelsCognitive ScienceNeuroscience Informatics, Bioinformatics,a dn Bio=medical EngineeringNeural Network Applications: Communications and Computer NetworksNeural network Applications: Expert System and InformaticsNeural Network Applications: Financial EngineeringOther Applications of Natural ComputationsAuthor Index
