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Synopsis
The re-emergence of network-based approaches to artificial intelligence has been accomplished by an explosion of research spanning a wide range of disciplines, among them cognitive science, computer science, biology, neuroscience, electrical engineering, psychology, econometrics, and philosophy. This collection of papers presents a rigorous mathematical analysis of the approximation and learning capabilities of the leading class of single hidden layer feedforward networks. Annotation copyright Book News, Inc. Portland, Or.
- PublisherBlackwell Pub
- Publication date1992
- ISBN 10 1557863296
- ISBN 13 9781557863294
- BindingHardcover
- LanguageEnglish
- Number of pages320
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Artificial Neural Networks: Approximation and Learning Theory
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Artificial Neural Networks: Approximation and Learning Theory
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Condition: Fine. 329 pp., Hardcover, fine in a very good dust jacket. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request. Seller Inventory # ZB1314837
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