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The artificial neural network book

	Author(s):	Keinosuke Fukunaga
	Collection:	Computer Science and Scientific Computing Series
	Publisher:	Academic Press
	Year:	1990
	Language:	English
	Pages:	392 pages
	Size:	2.29 MB
	Extension:	DJVU

[tab] [content title="Description"]This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises. [/content] [content title="Content"] [/content] [content title="About the author"]Keinosuke Fukunaga is a Japanese American scientist and educator known for his contributions to statistical pattern recognition. Fukunaga published some of the earliest monographs in the field of machine learning. He is the author of the book Introduction to Statistical Pattern Recognition, first published in 1972 by Academic Press.[1] Fukunaga was born in Himejishi, Japan on July 23, 1930.[2] He graduated with a BS and PhD in Electrical Engineering from Kyoto University in 1953 and 1962, respectively. He also received an MS degree from the University of Pennsylvania in 1959.[3] He has been on the faculty of Purdue University School of Electrical and Computer Engineering since 1966. [/content] [/tab]

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