دانلود کتاب Constructive Neural Networks

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Front Matter....Pages -
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks....Pages 1-23
Efficient Constructive Techniques for Training Switching Neural Networks....Pages 25-48
Constructive Neural Network Algorithms That Solve Highly Non-separable Problems....Pages 49-70
On Constructing Threshold Networks for Pattern Classification....Pages 71-82
Self-Optimizing Neural Network 3....Pages 83-101
M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network....Pages 103-121
Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification....Pages 123-144
A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability....Pages 145-169
Analysis and Testing of the m -Class RDP Neural Network....Pages 171-192
Active Learning Using a Constructive Neural Network Algorithm....Pages 193-206
Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks....Pages 207-224
A Constructive Neural Network for Evolving a Machine Controller in Real-Time....Pages 225-242
Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets....Pages 243-260
Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks....Pages 261-279
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees....Pages 281-291
Back Matter....Pages -