03986nam 22006015 450 991025431280332120200706040014.03-319-57115-X10.1007/978-3-319-57115-7(CKB)4340000000062384(DE-He213)978-3-319-57115-7(MiAaPQ)EBC5579059(PPN)201471760(EXLCZ)99434000000006238420170502d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierGranular Neural Networks, Pattern Recognition and Bioinformatics /by Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XIX, 227 p. 54 illus., 31 illus. in color.) Studies in Computational Intelligence,1860-949X ;7123-319-57113-3 Includes bibliographical references and index.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.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.Studies in Computational Intelligence,1860-949X ;712Computational intelligenceArtificial intelligenceBioinformaticsComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Computational intelligence.Artificial intelligence.Bioinformatics.Computational Intelligence.Artificial Intelligence.Computational Biology/Bioinformatics.006.32Pal Sankar Kauthttp://id.loc.gov/vocabulary/relators/aut117447Ray Shubhra Sauthttp://id.loc.gov/vocabulary/relators/autGanivada Avatharamauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254312803321Granular Neural Networks, Pattern Recognition and Bioinformatics2169612UNINA