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Computational intelligence / N. H. Siddique
Titre : Computational intelligence : synergies of fuzzy logic, neural networks, and evolutionary computing / Type de document : texte imprimé Auteurs : N. H. Siddique, Auteur ; Hojjat Adeli, Auteur Editeur : Chichester, West Sussex, U.K. : Wiley Année de publication : 2013 Importance : xvii, 512 pages Présentation : illustrations Format : 26 cm ISBN/ISSN/EAN : 978-1-118-33784-4 Note générale : Éditeur : Wiley–Blackwell (10 mai 2013)
Langue : Anglais
Relié : 532 pages
ISBN-10 : 1118337840
ISBN-13 : 978-1118337844
Poids de l'article : 942 g
Dimensions : 17.53 x 3.05 x 25.15 cmMots-clés : Computational Intelligence Fuzzy Logic fuzzy systems neural networks and evolutionary computing neuro–fuzzy systems evolutionary–fuzzy systems and evolutionaryneural systems Applications to linear and non–linear systems arediscussed Index. décimale : 006 Méthodes Informatique Résumé : Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing presents an introduction tosome of the cutting edge technological paradigms under the umbrellaof computational intelligence. Computational intelligence schemesare investigated with the development of a suitable framework forfuzzy logic, neural networks and evolutionary computing,neuro–fuzzy systems, evolutionary–fuzzy systems and evolutionaryneural systems. Applications to linear and non–linear systems arediscussed with examples.
Key features:
Covers all the aspects of fuzzy, neural and evolutionaryapproaches with worked out examples, MATLAB® exercises andapplications in each chapter
Presents the synergies of technologies of computationalintelligence such as evolutionary fuzzy neural fuzzy andevolutionary neural systems
Considers real world problems in the domain of systemsmodelling, control and optimization
Contains a foreword written by Lotfi Zadeh
Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing is an ideal text for finalyear undergraduate, postgraduate and research students inelectrical, control, computer, industrial and manufacturingengineering.
Biographie de l'auteur
Nazmul Siddique is a lecturer in the School of Computing and Intelligent Systems at the University of Ulster. He has published over 120 scientific research papers in journals and conferences including seven book chapters and two books. He is a senior member of the IEEE and has been involved in organising many international conferences. He is on the editorial board of the International Journal of Neural Systems, International Journal of Automation and Control Engineering, Journal of Behavioural Robotics, and Engineering Letters.
Hojjat Adeli is the holder of Abba G. Lichtenstein Professorship at The Ohio State University (OSU). He is the Editor–in–Chief of three journals: Computer–Aided Civil and Infrastructure Engineering, Integrated Computer–Aided Engineering, and International Journal of Neural Systems. He has authored over 500 publications including 14 books and has won numerous awards. He is a Distinguished Member of ASCE, a Fellow of AAAS and IEEE. In April 2010 he was profiled as an engineering legend in the journal Leadership and Management in Engineering.Note de contenu : index Computational intelligence : synergies of fuzzy logic, neural networks, and evolutionary computing / [texte imprimé] / N. H. Siddique, Auteur ; Hojjat Adeli, Auteur . - Chichester, West Sussex, U.K. : Wiley, 2013 . - xvii, 512 pages : illustrations ; 26 cm.
ISBN : 978-1-118-33784-4
Éditeur : Wiley–Blackwell (10 mai 2013)
Langue : Anglais
Relié : 532 pages
ISBN-10 : 1118337840
ISBN-13 : 978-1118337844
Poids de l'article : 942 g
Dimensions : 17.53 x 3.05 x 25.15 cm
Mots-clés : Computational Intelligence Fuzzy Logic fuzzy systems neural networks and evolutionary computing neuro–fuzzy systems evolutionary–fuzzy systems and evolutionaryneural systems Applications to linear and non–linear systems arediscussed Index. décimale : 006 Méthodes Informatique Résumé : Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing presents an introduction tosome of the cutting edge technological paradigms under the umbrellaof computational intelligence. Computational intelligence schemesare investigated with the development of a suitable framework forfuzzy logic, neural networks and evolutionary computing,neuro–fuzzy systems, evolutionary–fuzzy systems and evolutionaryneural systems. Applications to linear and non–linear systems arediscussed with examples.
Key features:
Covers all the aspects of fuzzy, neural and evolutionaryapproaches with worked out examples, MATLAB® exercises andapplications in each chapter
Presents the synergies of technologies of computationalintelligence such as evolutionary fuzzy neural fuzzy andevolutionary neural systems
Considers real world problems in the domain of systemsmodelling, control and optimization
Contains a foreword written by Lotfi Zadeh
Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing is an ideal text for finalyear undergraduate, postgraduate and research students inelectrical, control, computer, industrial and manufacturingengineering.
Biographie de l'auteur
Nazmul Siddique is a lecturer in the School of Computing and Intelligent Systems at the University of Ulster. He has published over 120 scientific research papers in journals and conferences including seven book chapters and two books. He is a senior member of the IEEE and has been involved in organising many international conferences. He is on the editorial board of the International Journal of Neural Systems, International Journal of Automation and Control Engineering, Journal of Behavioural Robotics, and Engineering Letters.
Hojjat Adeli is the holder of Abba G. Lichtenstein Professorship at The Ohio State University (OSU). He is the Editor–in–Chief of three journals: Computer–Aided Civil and Infrastructure Engineering, Integrated Computer–Aided Engineering, and International Journal of Neural Systems. He has authored over 500 publications including 14 books and has won numerous awards. He is a Distinguished Member of ASCE, a Fellow of AAAS and IEEE. In April 2010 he was profiled as an engineering legend in the journal Leadership and Management in Engineering.Note de contenu : index Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ST11062 006/14.1 Ouvrage Faculté des Sciences et de la Technologie 600 - Technologie (Sciences appliquées) Exclu du prêt Computational intelligence / International Joint Conference on Computational Intelligence
Titre : Computational intelligence : revised and selected papers of the International Joint Conference, IJCCI 2010, Valencia, Spain, October 2010 / Autre titre : I Type de document : texte imprimé Auteurs : International Joint Conference on Computational Intelligence ; Kurosh Madani Editeur : Berlin : Springer Année de publication : 2012 Importance : 1 online resource (xiii, 422 pages ISBN/ISSN/EAN : 978-3-642-27534-0 Note générale : Format Hardback | 362 pages
Dimensions 155 x 235 x 27.94mm | 729g
Publication date 21 Dec 2012
Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Publication City/Country Berlin, Germany
Language English
Edition Statement 2013 ed.
Illustrations note XIV, 362 p.
ISBN10 3642356370
ISBN13 9783642356377Mots-clés : Engineering Artificial intelligence Computational Intelligence hybrid rules dynamical modeling describe filtering process Index. décimale : 006 Méthodes Informatique Résumé : This book offers selected papers from the third International Joint Conference on Computational Intelligence (IJCCI 2011) and its co-located conferences, on such topics as fuzzy computation, evolutionary computation and neural computation.
The present book includes a set of selected extended papers from the third International Joint Conference on Computational Intelligence (IJCCI 2011), held in Paris, France, from 24 to 26 October 2011. The conference was composed of three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 283 submissions, from 59 countries, in all continents. This book includes the revised and extended versions of a strict selection of the best papers presented at the conference.
Computational intelligence : revised and selected papers of the International Joint Conference, IJCCI 2010, Valencia, Spain, October 2010 / ; I [texte imprimé] / International Joint Conference on Computational Intelligence ; Kurosh Madani . - Berlin : Springer, 2012 . - 1 online resource (xiii, 422 pages.
ISBN : 978-3-642-27534-0
Format Hardback | 362 pages
Dimensions 155 x 235 x 27.94mm | 729g
Publication date 21 Dec 2012
Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Publication City/Country Berlin, Germany
Language English
Edition Statement 2013 ed.
Illustrations note XIV, 362 p.
ISBN10 3642356370
ISBN13 9783642356377
Mots-clés : Engineering Artificial intelligence Computational Intelligence hybrid rules dynamical modeling describe filtering process Index. décimale : 006 Méthodes Informatique Résumé : This book offers selected papers from the third International Joint Conference on Computational Intelligence (IJCCI 2011) and its co-located conferences, on such topics as fuzzy computation, evolutionary computation and neural computation.
The present book includes a set of selected extended papers from the third International Joint Conference on Computational Intelligence (IJCCI 2011), held in Paris, France, from 24 to 26 October 2011. The conference was composed of three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 283 submissions, from 59 countries, in all continents. This book includes the revised and extended versions of a strict selection of the best papers presented at the conference.
Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ST11056 006/13.1 Ouvrage Faculté des Sciences et de la Technologie 000 - Informatique, information, ouvrages généraux Exclu du prêt Computational intelligence in intelligent data analysis / Christian Moewes ; Andreas Nürnberger ; SpringerLink (Service en ligne
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.Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ST350 537/56.1 Ouvrage Faculté des Sciences et de la Technologie 500 - Sciences de la nature et Mathématiques Exclu du prêt