- Presents the state of the art of Constructive Algorithms for Neural Networks
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- About this book
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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 September 3-6, 2008 in Prague, Czech Republic.
The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to standard trial and error methods for searching adequate architectures. It is made of 15 articles which provide an overview of the most recent advances on the techniques being developed for constructive neural networks and their applications. It will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of artificial neural networks.
- Table of contents (15 chapters)
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Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks
Pages 1-23
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Efficient Constructive Techniques for Training Switching Neural Networks
Pages 25-48
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Constructive Neural Network Algorithms That Solve Highly Non-separable Problems
Pages 49-70
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On Constructing Threshold Networks for Pattern Classification
Pages 71-82
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Self-Optimizing Neural Network 3
Pages 83-101
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Table of contents (15 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Constructive Neural Networks
- Editors
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- Leonardo Franco
- José M. Jerez
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 258
- Copyright
- 2009
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-04512-7
- DOI
- 10.1007/978-3-642-04512-7
- Hardcover ISBN
- 978-3-642-04511-0
- Softcover ISBN
- 978-3-642-26108-4
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- VIII, 293
- Topics
