Constructive Neural Networks

The book is a collection of invited papers on Constructive methods for Neural networks. Most of the chapters are extended versions of works presented on the special session on constructive neural network algorithms of the 18th International Conference on Artificial Neural Networks (ICANN 2008) held...

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Bibliographic Details
Other Authors: Franco, Leonardo (Editor), Jerez, José M. (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition:1st ed. 2009
Series:Studies in Computational Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks
  • Efficient Constructive Techniques for Training Switching Neural Networks
  • Constructive Neural Network Algorithms That Solve Highly Non-separable Problems
  • On Constructing Threshold Networks for Pattern Classification
  • Self-Optimizing Neural Network 3
  • M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network
  • Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification
  • A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability
  • Analysis and Testing of the m-Class RDP Neural Network
  • Active Learning Using a Constructive Neural Network Algorithm
  • Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks
  • A Constructive Neural Network for Evolving a Machine Controller in Real-Time
  • Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets
  • Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks
  • Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees