T�tulo: Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists
Editor: Oxford University Press
Fecha de publicaci�n: 1997
Idioma: Ingl�s
ISBN 10: 0195079205
ISBN 13: 9780195079203
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

Pattern Regcognition with Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks from an algorithmic approach. The author has written a real-world practical "why-and-how" text that provides a refreshing contrast to competing texts' thoeretical appraoch and "pie-in-the-sky" claims. The text explores mulitple layered preceptrons and describes network types such as functional link, radial basis function, learning vector quantanization and self-organizing. The author also discusses recent clustering methods. This text is suitable for an advanced undergraduate course in pattern recognition or neural networks, and is also useful as a reference and a resource.

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Carl Grant Looney is Professor and Director of the Graduate Program in the Computer Science Department at the University of Nevada in Reno.

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