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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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Previews available in: English
Showing 2 featured editions. View all 2 editions?
Edition | Availability |
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1
Dealing with complexity: a neural networks approach
1998, Springer
in English
3540761608 9783540761600
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2
Dealing With Complexity: A Neural Networks Approach (Perspectives in Neural Computing)
October 1997, Springer
Paperback
in English
3540761608 9783540761600
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Includes bibliographical references and index.
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- Created April 1, 2008
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