Neural Networks in a Softcomputing Framework

Neural Networks in a Softcomputing Framework
Author :
Publisher : Springer Science & Business Media
Total Pages : 610
Release :
ISBN-10 : 9781846283031
ISBN-13 : 1846283035
Rating : 4/5 (31 Downloads)

Book Synopsis Neural Networks in a Softcomputing Framework by : Ke-Lin Du

Download or read book Neural Networks in a Softcomputing Framework written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.


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Soft computing is a branch of computer science that deals with a family of methods that imitate human intelligence. This is done with the goal of creating tools