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High Dimensional Neurocomputing

Growth, Appraisal and Applications

  • Book
  • © 2015

Overview

Authors:
  1. Bipin Kumar Tripathi

    1. Computer Science and Engineering, Harcourt Butler Technological Institute, Kanpur, India

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  • A novel approach for second generation of neurocomputing
  • Provides analytical approach towards computational intelligence
  • Discusses applications over wide spectrum of problems in single and high dimensions
  • Helps to develop concepts and aptitude towards high-dimensional neurocomputing
  • Includes solution for single-dimensional problems through two-dimensional neural networks
  • Presents multivariate statistical techniques in complex domain focused on biometric applications
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Neurocomputing: An Introduction

    • Bipin Kumar Tripathi
    Pages 1-20

  3. Neurocomputing with High Dimensional Parameters

    • Bipin Kumar Tripathi
    Pages 21-42

  4. Neurocomputing in Complex Domain

    • Bipin Kumar Tripathi
    Pages 43-78

  5. Higher-Order Computational Model for Novel Neurons

    • Bipin Kumar Tripathi
    Pages 79-103

  6. High-Dimensional Mapping

    • Bipin Kumar Tripathi
    Pages 105-116

  7. Neurocomputing in Space

    • Bipin Kumar Tripathi
    Pages 117-129

  8. Machine Recognition in Complex Domain

    • Bipin Kumar Tripathi
    Pages 131-165
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Keywords

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.

Authors and Affiliations

  • Computer Science and Engineering, Harcourt Butler Technological Institute, Kanpur, India

    Bipin Kumar Tripathi

About the author

Dr. Bipin Kumar Tripathi completed his PhD in Computational Intelligence from IIT Kanpur, India and M. Tech in Computer Science and Engineering from IIT Delhi, India. Dr. Tripathi is currently serving as an Associate Professor in Department of Computer Science and Engineering of HBTI Kanpur, India. He is also leading the Nature-inspired Computational Intelligence Research Group (NCIRG) at HBTI. His areas of research include high-dimensional neurocomputing, computational neuroscience, intelligent system design, machine learning and computer vision focused on biometrics and 3D Imaging. He has published several research papers in these areas in many peer reviewed journals including IEEE Transaction/Elsevier/Springer and other international conferences. He has also contributed book chapters in different international publications and patent in his area. He is continuously serving as PC for many international conferences and as a reviewer of several international journals.

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