Granular Neural Networks, Pattern Recognition and Bioinformatics: 712 (Studies in Computational Intelligence) - Tapa blanda

Pal, Sankar K.; Ray, Shubhra S.; Ganivada, Avatharam

 
9783319860794: Granular Neural Networks, Pattern Recognition and Bioinformatics: 712 (Studies in Computational Intelligence)
Tapa blanda
ISBN 10: 3319860798 ISBN 13: 9783319860794
Editorial: Springer, 2018

Sinopsis

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 forfuture 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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3319860798
ISBN 13 
9783319860794
Encuadernación
Tapa blanda
Número de páginas
248
Contacto del fabricante
no disponible
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9783319571133: Granular Neural Networks, Pattern Recognition and Bioinformatics: 712 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3319571133 ISBN 13:  9783319571133
Editorial: Springer, 2017
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