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Neural Networks in a Softcomputing Framework, Hardback Book

Neural Networks in a Softcomputing Framework Hardback

Hardback

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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 the basics, 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.

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