Neural Networks in a Softcomputing Framework - M. N. S. Swamy,Ke-Lin Du
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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 systema ... Full description
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Description
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.
More Information
| Author | M. N. S. Swamy, Ke-Lin Du |
|---|---|
| Publisher | Springer London |
| Release year | 2010 |
| Cover type | Softcover |
| EAN | 9781849965743 |