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Macmillan publication date 1994 edition na physical description xix, 696p subject computer subject headings neural network computer science. He is currently distinguished university professor at mcmaster university in hamilton, ontario, canada he received bsc firstclass honours. Neural networks and learning machines, 3rd edition. This book provides a comprehensive foundation of neural networks.
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This third edition has much in common with the classic and more fairly rated s. Neural networks a comprehensive foundation material type book language english title neural networks a comprehensive foundation authors simon haykin publication data new york. Simon haykin is professor of electrical engineering. Introduction to neural networks neural networks are the preferred tool for many predictive data mining applications because of their power, flexibility, and ease of use. Typically, neural networks are not explicitly programmed to perform a given task. This wellorganized and completely uptodate text remains the most comprehensive treatment of neural networks from an engineering perspective.
Neural networks, or artificial neural networks to be more precise, represent a technology that is rooted in many disciphnes. This document was uploaded by user and they confirmed that they have the permission to share it. Neural networks find applications in such diverse fields as. This is ideal for professional engineers and research scientists. This wellorganized and completely uptodate text remains the most comprehensive treatment of neural networks from an engineering. Neuronal networks a comprehensive foundation, chapter 10, prentice hall, 1999. Integrates computer experiments throughout, giving students the opportunity to see how neural networks are designed and perform in practice. Case studies include us postal service data for semiunsupervised learning using the laplacian rls algorithm, how pca is applied to handwritten digital data, the analysis of natural images by using sparsesensory coding and ica, dynamic reconstruction applied to the lorenz attractor by using a regularized rbf network, and the. Neural networks and learning machines simon haykin. Neural networks a comprehensive foundation simon haykin prenticehall, 1998. Features extensive, stateoftheart coverage exposes the reader to the many facets of neural networks and helps them appreciate the technologys. Neural networks a comprehensive foundation simon haykin prenticehall, 1998 2nd edition 1. The book is applicability of socalled bspline neural networks.
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