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.
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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.
Imprint | Springer London |
Country of origin | United Kingdom |
Release date | October 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2006 |
Authors | Ke-Lin Du, M.N.S. Swamy |
Dimensions | 235 x 155 x 31mm (L x W x T) |
Format | Paperback |
Pages | 566 |
Edition | Softcover reprint of hardcover 1st ed. 2006 |
ISBN-13 | 978-1-84996-574-3 |
Barcode | 9781849965743 |
Categories | |
LSN | 1-84996-574-9 |