Constructive Neural Networks 2009
Leonardo Franco, David A. Elizondo, José M. Jerez (Eds.):
Constructive Neural Networks.
Studies in Computational Intelligence Vol. 258 Springer 2009, ISBN 978-3-642-04511-0 
This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special session held during the 18th International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republic.
- Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez:
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks.
1-23
- Enrico Ferrari, Marco Muselli:
Efficient Constructive Techniques for Training Switching Neural Networks.
25-48
- Marek Grochowski, Wlodzislaw Duch:
Constructive Neural Network Algorithms That Solve Highly Non-separable Problems.
49-70
- Martin Anthony:
On Constructing Threshold Networks for Pattern Classification.
71-82
- Adrian Horzyk:
Self-Optimizing Neural Network 3.
83-101
- Engelbert Mephu Nguifo, Norbert Tsopzé, Gilbert Tindo:
M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network.
103-121
- Peter Sussner, Estevão Laureano Esmi:
Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification.
123-144
- João Roberto Bertini Jr., Maria do Carmo Nicoletti:
A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability.
145-169
- David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead:
Analysis and Testing of the m-Class RDP Neural Network.
171-192
- José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez:
Active Learning Using a Constructive Neural Network Algorithm.
193-206
- Robert Ollington, Peter Vamplew, John Swanson:
Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks.
207-224
- Andreas Huemer, David A. Elizondo, Mario A. Góngora:
A Constructive Neural Network for Evolving a Machine Controller in Real-Time.
225-242
- Héctor F. Satizábal, Andrés Pérez-Uribe, Marco Tomassini:
Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets.
243-260
- Miguel Arturo Barreto-Sanz, Andrés Pérez-Uribe, Carlos Andrés Peña-Reyes, Marco Tomassini:
Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks.
261-279
- Hirotaka Inoue:
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees.
281-291
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