High Dimensional Neurocomputing - Growth, Appraisal and Applications (Hardcover, 2015 ed.)

The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence.

General

Imprint:	Springer, India, Private Ltd
Country of origin:	India
Series:	Studies in Computational Intelligence, 571
Release date:	November 2014
First published:	2015
Authors:	Bipin Kumar Tripathi
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	165
Edition:	2015 ed.
ISBN-13:	978-81-322-2073-2
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	81-322-2073-0
Barcode:	9788132220732

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