Computational Intelligence: Methods and Techniques

Rutkowski, Leszek

ISBN 10: 3642095151 / ISBN 13: 9783642095153

Edité par Springer, 2010

A propos de cet article

514 pp., Paperback, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Détails bibliographiques

• Titre: Computational Intelligence: Methods and Techniques
• Éditeur: Springer
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 3642095151
• ISBN à 13 chiffres: 9783642095153
• Reliure: Couverture souple
• État de l'article: Fine

A propos de ce titre

Synopsis

This quite simply superb book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are today commonly applied to issues of artificial intelligence, for example in the processing of speech and natural language, and in building expert systems and robots. The first part of the book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next up, various neural network architectures are presented and their learning algorithms are derived. Then, the family of evolutionary algorithms is discussed, in particular the classical genetic algorithm, evolutionary strategies and genetic programming, including connections between these techniques and neural networks and fuzzy systems. In the last part of the book, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared.

Présentation de l'éditeur

This brilliant new book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are applied to issues of artificial intelligence, for example in the processing of speech and natural language, and in building expert systems and robots.