Evolving Connectionist Systems: The Knowledge Engineering Approach

Nikola Kasabov

ISBN 10: 1846283450 / ISBN 13: 9781846283451

Edité par Springer-Verlag New York Inc, 2007

A propos de cet article

2nd edition. 457 pages. 9.00x6.00x1.00 inches. In Stock.

N° de réf. du vendeur x-1846283450

Détails bibliographiques

• Titre: Evolving Connectionist Systems: The Knowledge Engineering Approach
• Éditeur: Springer-Verlag New York Inc
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 1846283450
• ISBN à 13 chiffres: 9781846283451
• Reliure: Paperback
• Édition: 2ème Édition
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.