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Evolving Connectionist Systems
Nikola K. Kasabov
€ 186.70
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Description for Evolving Connectionist Systems
Paperback. Presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems, as well as various trends including computational neuro-genetic modelling and quantum information processing related to evolving systems. This book covers various applications in bioinformatics and brain studies. Num Pages: 451 pages, 185 black & white illustrations, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 24. Weight in Grams: 730.
This second edition of the must-read work in the field presents generic computational models and techniques that can be used for the development of evolving, adaptive modeling systems, as well as new trends including computational neuro-genetic modeling and quantum information processing related to evolving systems. New applications, such as autonomous robots, adaptive artificial life systems and adaptive decision support systems are also covered.
This second edition of the must-read work in the field presents generic computational models and techniques that can be used for the development of evolving, adaptive modeling systems, as well as new trends including computational neuro-genetic modeling and quantum information processing related to evolving systems. New applications, such as autonomous robots, adaptive artificial life systems and adaptive decision support systems are also covered.
Product Details
Format
Paperback
Publication date
2007
Publisher
Springer London Ltd United Kingdom
Number of pages
451
Condition
New
Number of Pages
451
Place of Publication
England, United Kingdom
ISBN
9781846283451
SKU
V9781846283451
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Nikola K. Kasabov
Professor Nik Kasabov is the Founding Director and Chief Scientist of the Knowledge Engineering and Discovery Research Institute, Auckland, NZ. He holds a number of key positions, including Chair of the Adaptive Systems Task Force of the Neural Network Technical Committee of the IEEE. He has published extensively, and been Programme Chair of over 50 high-profile conferences.
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