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Book synopsis

Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system. Neural networks are a model-free, adaptive, parallel-processing solution. This textbook provides a powerful and universal paradigm for information processing; it reviews the most popular neural-network methods and their associated techniques.Each chapter has a systematic survey of each neural-network model. Computational intelligence topics like fuzzy logic and genetic algorithms (tools for neural-network learning) are introduced. Array signal processing problems are used to show the applications of each model.This is an ideal textbook for graduate students and researchers; as well as introducing thebasics, the exhaustive list of references included will aid their future research. It is also a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and A.I.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Neural Networks in a Softcomputing Framework
• Author: M. N. S. Swamy, Ke-Lin Du
• Language: English
• Binding: Hardback
• Number of pages: 566
• EAN: 9781846283024
• ISBN: 1846283027
• ID: 01433556
• Publisher: Springer London Ltd
• Weight: 2290 g
• Dimensions: 235 × 155 × 45 mm
• Date of publishing: 18. April 2006

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