Dealing with complexity : a neural networks approach /
This volume brings together a collection of top international researchers in the field of artificial neural networks with the = common theme being an attempt to tackle the problem of complexity. The contributions range from more theoretical analyses of the neural network approach to a number of appl...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
London ; New York :
Springer,
[1998]
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| Series: | Perspectives in neural computing.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This volume brings together a collection of top international researchers in the field of artificial neural networks with the = common theme being an attempt to tackle the problem of complexity. The contributions range from more theoretical analyses of the neural network approach to a number of application-oriented articles which indicate the extent of the problem from a more practical viewpoint. The use of neural networks is a relatively new, but increasingly popular, approach to the problem of complexity. Dealing with Complexity is an extremely multi-disciplinary = examination of the above issues: although primarily intended for industrial/academic researchers, and postgraduate students working within computing science, it will also be of interest to anyone=20 working on relevant research projects or applications within the following fields: physics, mathematics and engineering. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xv, 308 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 and index. |
| ISBN: | 9781447115236 (electronic bk.) 1447115236 (electronic bk.) |