الفهرس الالي لمكتبة كلية العلوم و علوم التكنولوجيا

Titre :	Computational intelligence in intelligent data analysis
Type de document :	texte imprimé
Auteurs :	Christian Moewes ; Andreas Nürnberger ; SpringerLink (Service en ligne
Editeur :	Berlin : Springer
Année de publication :	2013
Importance :	1 texte électronique
Présentation :	fichiers PDF
ISBN/ISSN/EAN :	978-3-642-32378-2
Note générale :	In SpringerLink Titre de l'écran-titre (visionné le 10 octobre 2012)
Mots-clés :	Computational intelligence  intelligent data analysis  hybrid  uncertainty  knowledge based
Index. décimale :	537
Résumé :	Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intelligence has been collected in this volume.

Computational intelligence in intelligent data analysis [texte imprimé] / Christian Moewes ; Andreas Nürnberger ; SpringerLink (Service en ligne . - Berlin : Springer, 2013 . - 1 texte électronique : fichiers PDF.
ISBN : 978-3-642-32378-2
In SpringerLink Titre de l'écran-titre (visionné le 10 octobre 2012)

Mots-clés :	Computational intelligence  intelligent data analysis  hybrid  uncertainty  knowledge based
Index. décimale :	537
Résumé :	Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intelligence has been collected in this volume.