High Dimensional Neurocomputing

Growth, Appraisal and Applications

  • Bipin Kumar┬áTripathi

Part of the Studies in Computational Intelligence book series (SCI, volume 571)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Bipin Kumar Tripathi
    Pages 1-20
  3. Bipin Kumar Tripathi
    Pages 21-42
  4. Bipin Kumar Tripathi
    Pages 43-78
  5. Bipin Kumar Tripathi
    Pages 79-103
  6. Bipin Kumar Tripathi
    Pages 105-116
  7. Bipin Kumar Tripathi
    Pages 117-129
  8. Bipin Kumar Tripathi
    Pages 131-165

About this book


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.


Activation Functions on Plane High Dimensional Learning Algorithms High Dimensional Neural Network High Order Neurons Models Multivariate Statistical Analysis

Authors and affiliations

  • Bipin Kumar┬áTripathi
    • 1
  1. 1.Computer Science and EngineeringHarcourt Butler Technological InstituteKanpurIndia

Bibliographic information

  • DOI
  • Copyright Information Springer India 2015
  • Publisher Name Springer, New Delhi
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-81-322-2073-2
  • Online ISBN 978-81-322-2074-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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