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Unified Computational Intelligence for Complex Systems
Seiffertt, John; Wunsch Ii, D.C. (Department Of Electrical Computer Engineering, University Of Missouri-Rolla, Usa)
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Description for Unified Computational Intelligence for Complex Systems
Paperback. This is the first book to present a computational intelligence architecture capable of learning in unsupervised, supervised, or reinforcement learning modes. It is also the first to cover applications of time scales mathematics to engineering applications. Series: Adaptation, Learning, and Optimization. Num Pages: 150 pages, 9 colour illustrations, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 207.
Computational intelligence encompasses a wide variety of techniques that allow computation to learn, to adapt, and to seek. That is, they may be designed to learn information without explicit programming regarding the nature of the content to be retained, they may be imbued with the functionality to adapt to maintain their course within a complex and unpredictably changing environment, and they may help us seek out truths about our own dynamics and lives through their inclusion in complex system modeling. These capabilities place our ability to compute in a category apart from our ability to erect suspension bridges, ... Read more
Computational intelligence encompasses a wide variety of techniques that allow computation to learn, to adapt, and to seek. That is, they may be designed to learn information without explicit programming regarding the nature of the content to be retained, they may be imbued with the functionality to adapt to maintain their course within a complex and unpredictably changing environment, and they may help us seek out truths about our own dynamics and lives through their inclusion in complex system modeling. These capabilities place our ability to compute in a category apart from our ability to erect suspension bridges, ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
150
Condition
New
Series
Adaptation, Learning, and Optimization
Number of Pages
150
Place of Publication
Berlin, Germany
ISBN
9783642263958
SKU
V9783642263958
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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