Neural Networks in a Softcomputing Framework

di Ke-Lin Du (Autore)

M.N.S. Swamy (Autore)

Springer London Ltd, 2006

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.

• Autore: Ke-Lin Du, M.N.S. Swamy
• Editore: Springer London Ltd
• Anno: 2006
• Rilegatura: Hardback
• Pagine: 566 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781846283024

Testo in English