Pattern recognition using neural networks theory and algorithms for engineers and scientists

Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach...

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Bibliographic Details
Main Author: Looney, Carl G.
Other Authors: Carl G. Looney
Language:Undetermined
English
Published: New York Oxford University Press 1997
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Institutions: Trung tâm Học liệu Trường Đại học Trà Vinh
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Summary:Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimum distance, graphical and structural methods, and Bayesian discrimination
Physical Description:458 p.
ill.
25 cm
ISBN:0195079205
9780195079203