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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.
| Autorius: | M. N. S. Swamy, Ke-Lin Du, |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2010 |
| Knygos puslapių skaičius: | 620 |
| ISBN-10: | 1849965749 |
| ISBN-13: | 9781849965743 |
| Formatas: | 235 x 155 x 34 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Neural Networks in a Softcomputing Framework“
