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Neural Netorks in a Softcomputing Frameork [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Du, Ke-Lin, Swamy, M.N.S.
  • Author:  Du, Ke-Lin, Swamy, M.N.S.
  • ISBN-10:  1849965749
  • ISBN-10:  1849965749
  • ISBN-13:  9781849965743
  • ISBN-13:  9781849965743
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2010
  • Pub Date:  01-Feb-2010
  • SKU:  1849965749-11-SPRI
  • SKU:  1849965749-11-SPRI
  • Item ID: 100841641
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jan 03 to Jan 05
  • Notes: Brand New Book. Order Now.

This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms  powerful tools for neural-network learning  are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

This comprehensive textbook reviews the most popular neural-network methods and associated techniques. Each chapter describes important research results of the respective neural-network methods. Useful for those working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques.

This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Arl$

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