Sinossi
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.
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Artificial Neural Networks: Approximation and Learning Theory
Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Condizione: Fine. *Price HAS BEEN REDUCED by 10% until Monday, March 23 (weekend SALE item)* 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. Codice articolo ZB1314837
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