Second-order methods for neural networks : fast and reliable training methods for multi-layer perceptrons /
This volume aims to develop the reader's understanding of the theoretical and practical issues involved in the development of efficient MLP training strategies, and to describe and evaluate the performance of a wide range of specific training algorithm. Particular emphasis is given to the devel...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
London ; New York :
Springer,
[1997]
|
| Series: | Perspectives in neural computing.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This volume aims to develop the reader's understanding of the theoretical and practical issues involved in the development of efficient MLP training strategies, and to describe and evaluate the performance of a wide range of specific training algorithm. Particular emphasis is given to the development of methods which a strong theoretical foundation, rather than heuristic, "rule of thumb" training strategies. Second-Order Methods for Neural Networks will be of interest to academic researchers and postgraduate students working with neural networks (especially supervised learning with multi-layer perceptrons), industrial researchers and programmers developing neural network software, and professionals using neural networks as optimisation tools. |
|---|---|
| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xiv, 145 pages) : illustrations. |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references (pages 139-142) and index. |
| ISBN: | 9781447109532 (electronic bk.) 1447109538 (electronic bk.) |