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Granular Neural Networks, Pattern Recognition and Bioinformatics

  • Sankar K. Pal
  • Shubhra S. Ray
  • Avatharam Ganivada

Part of the Studies in Computational Intelligence book series (SCI, volume 712)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
    Pages 1-37
  3. Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
    Pages 39-76
  4. Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
    Pages 77-105
  5. Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
    Pages 107-134
  6. Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
    Pages 135-162
  7. Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
    Pages 163-193
  8. Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
    Pages 195-222
  9. Back Matter
    Pages 223-227

About this book

Introduction

This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in forming fuzzy-rough information granules based on lower approximate regions enables the network to determine the exactness in class shape as well as to handle the uncertainties arising from overlapping regions, resulting in efficient and speedy learning with enhanced performance. Layered network and self-organizing analysis maps, which have a strong potential in big data, are considered as basic modules,.

The book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application. It covers the latest findings as well as directions for future research, particularly highlighting bioinformatics applications. The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.

Keywords

Bioinformatics Computational Intelligence Fuzzy Rough Granular Neural Network Granular Neural Networks Pattern Recognition

Authors and affiliations

  • Sankar K. Pal
    • 1
  • Shubhra S. Ray
    • 2
  • Avatharam Ganivada
    • 3
  1. 1.Center for Soft Computing ResearchIndian Statistical InstituteKolkataIndia
  2. 2.Center for Soft Computing ResearchIndian Statistical InstituteKolkataIndia
  3. 3.Center for Soft Computing ResearchIndian Statistical InstituteKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57115-7
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-57113-3
  • Online ISBN 978-3-319-57115-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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