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High Dimensional Neurocomputing: Growth, Appraisal and Applications

High Dimensional Neurocomputing: Growth, Appraisal and Applications

Hardcover

Series: Studies in Computational Intelligence, Book 571

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 8132220730
ISBN13: 9788132220732
Publisher: Springer Nature
Published: Nov 18 2014
Pages: 165
Weight: 1.03
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
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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