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High dimensional neurocomputing = gr...

Tripathi, Bipin Kumar.

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High dimensional neurocomputing = growth, appraisal and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	High dimensional neurocomputing/ by Bipin Kumar Tripathi.
Reminder of title:	growth, appraisal and applications /
Author:	Tripathi, Bipin Kumar.
Published:	New Delhi :Springer India : : 2015.,
Description:	xix, 165 p. :ill., digital ;24 cm.
[NT 15003449]:	Neuro-Computing with High Dimensional Parameters -- Neuro-Computing in Complex Domain -- Higher Order Computational Model of Novel Neurons -- Neuro-Computing in Space -- High Dimensional Mapping -- Machine Recognition for Biometric Application in Complex Domain.
Contained By:	Springer eBooks
Subject:	Neural computers. -
Online resource:	http://dx.doi.org/10.1007/978-81-322-2074-9
ISBN:	9788132220749 (electronic bk.)

High dimensional neurocomputing = growth, appraisal and applications /
Tripathi, Bipin Kumar.

High dimensional neurocomputinggrowth, appraisal and applications /[electronic resource] :by Bipin Kumar Tripathi. - New Delhi :Springer India :2015. - xix, 165 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.5711860-949X ;. - Studies in computational intelligence ;v.379..

Neuro-Computing with High Dimensional Parameters -- Neuro-Computing in Complex Domain -- Higher Order Computational Model of Novel Neurons -- Neuro-Computing in Space -- High Dimensional Mapping -- Machine Recognition for Biometric Application in Complex Domain.

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.

ISBN: 9788132220749 (electronic bk.)

Standard No.: 10.1007/978-81-322-2074-9doiSubjects--Topical Terms:

535411
Neural computers.

LC Class. No.: QA76.87 / .T75 2015

Dewey Class. No.: 006.32

High dimensional neurocomputing = growth, appraisal and applications /
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505 0 $a Neuro-Computing with High Dimensional Parameters -- Neuro-Computing in Complex Domain -- Higher Order Computational Model of Novel Neurons -- Neuro-Computing in Space -- High Dimensional Mapping -- Machine Recognition for Biometric Application in Complex Domain.
520 $a 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.
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