Title Granular neural networks, pattern recognition and bioinformatics / Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada

Published Cham, Switzerland : Springer, 2017

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Description 1 online resource (xix, 227 pages) : illustrations (some color) Series Studies in computational intelligence, 1860-949X ; volume 712 Studies in computational intelligence ; v. 712. 1860-949X Contents Introduction to Granular Computing, Pattern Recognition and Data Mining -- Classification using Fuzzy Rough Granular Neural Networks -- Clustering using Fuzzy Rough Granular Self-Organizing Map -- Fuzzy Rough Granular Neural Network and Unsupervised Feature Selection Summary 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 Bibliography Includes bibliographical references and index Notes Online resource; title from PDF title page (SpringerLink, viewed May 15, 2017) In Springer eBooks Subject Neural networks (Computer science) Pattern recognition systems. Neural Networks, Computer Pattern Recognition, Automated Artificial intelligence. Life sciences: general issues. Computers -- Intelligence (AI) & Semantics. Computers -- Computer Science. Neural networks (Computer science) Pattern recognition systems Form Electronic book Author Ray, Shubhra S., author Ganivada, Avatharam, author ISBN 9783319571157 331957115X 3319571133 9783319571133

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