High Dimensional Neurocomputing

High Dimensional Neurocomputing Growth, Appraisal and Applications - Studies in Computational Intelligence

2015

Hardback (18 Nov 2014)

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Publisher's Synopsis

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.

Book information

ISBN: 9788132220732
Publisher: Springer India
Imprint: Springer
Pub date:
Edition: 2015
DEWEY: 006.32
DEWEY edition: 23
Language: English
Number of pages: 165
Weight: 4085g
Height: 235mm
Width: 155mm
Spine width: 14mm