Granular Neural Networks Pattern Recognition and Bioinformatics is popular PDF and ePub book, written by Sankar K. Pal in 2017-05-02, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Granular Neural Networks Pattern Recognition and Bioinformatics can be Read Online from any device for your convenience.
Granular Neural Networks Pattern Recognition and Bioinformatics Book PDF 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.
Detail Book of Granular Neural Networks Pattern Recognition and Bioinformatics PDF
- Author : Sankar K. Pal
- Release : 02 May 2017
- Publisher : Springer
- ISBN : 9783319571157
- Genre : Technology & Engineering
- Total Page : 241 pages
- Language : English
- PDF File Size : 16,9 Mb
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