. .
Français
France
Livres similaires
Autres livres qui pourraient ressembler au livre recherché:
Outils de recherche
s'inscrire

Connectez-vous avec Facebook:

S'inscrire
Mot de passe oublié?


Historique de recherche
Liste pense-bête
Liens vers eurolivre.fr

Partager ce livre sur…
Livre conseillé
Actualités
Conseils d'eurolivre.fr
Publicité
FILTRE
- 0 Résultats
prix le plus bas: 80,91 €, prix le plus élevé: 119,50 €, prix moyen: 94,80 €
Evolutionary Computation - Fogel, David B.
Livre non disponible
(*)
Fogel, David B.:

Evolutionary Computation - nouveau livre

2004, ISBN: 9780471669517

ID: 272211

David B. Fogel is chief executive officer of Natural Selection, Inc. in La Jolla, CA—a small business focused on solving difficult problems in industry, medicine, and defense using evolutionary computation, neural networks, fuzzy systems, and other methods of computational intelligence. Dr. Fogel’s experience in evolutionary computation spans 20 years and includes applications in pharmaceutical design, computer-assisted mammography, data mining, factory scheduling, financial forecasting, traffic flow optimization, agent-based adaptive combat systems, and many other areas. Prior to cofounding Natural Selection, Inc. in 1993, Dr. Fogel was a systems analyst at Titan Systems, Inc. (1984–1988), and a senior principal engineer at ORINCON Corporation (1988–1993). Dr. Fogel received his Ph.D. degree in engineering sciences (systems science) from the University of California at San Diego (UCSD) in 1992. He earned an M.S. degree in engineering sciences (systems science) from UCSD in 1990, and a B.S. in mathematical sciences (probability and statistics) from the University of California at Santa Barbara in 1985. He has taught university courses at the graduate and undergraduate level in stochastic processes, probability and statistics, and evolutionary computation. Dr. Fogel is a prolific author in evolutionary computation, having published over 50 journal papers, as well as 100 conference publications, 20 contributions in book chapters, two videos, four computer games, and six books—most recently, Blondie24: Playing at the Edge of AI (Morgan Kaufmann, 2002). In addition, Dr. Fogel is coeditor in chief of the Handbook of Evolutionary Computation (Oxford, 1997) and was the founding editor-in-chief of the IEEE Transactions on Evolutionary Computation (1996–2002). He serves as editor-in-chief for the journal BioSystems and is a member of the editorial board of several other international technical journals. Dr. Fogel served as a Visiting Fellow of the Australian Defence Force Academy in November 1997, and is a member of many professional societies including the American Association for the Advancement of Science, the American Association for Artificial Intelligence, Sigma Xi, and the New York Academy of Sciences. He was the founding president of the Evolutionary Programming Society in 1991 and is a Fellow of the IEEE, as well as an associate member of the Center for the Study of Evolution and the Origin of Life (CSEOL) at the University of California at Los Angeles. Dr. Fogel is a frequently invited lecturer at international conferences and a guest for television and radio broadcasts. His honors and awards include the 2001 Sigma Xi Southwest Region Young Investigator Award, the 2003 Sigma Xi San Diego Section Distinguished Scientist Award, the 2003 SPIE Computational Intelligence Pioneer Award, and the 2004 IEEE Kiyo Tomiyasu Technical Field Award. Technology Technology eBook, Wiley

Nouveaux livres Ebooks.com
Frais d'envoizzgl. Versandkosten, Livraison non-comprise
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Evolutionary Computation - David B. Fogel
Livre non disponible
(*)

David B. Fogel:

Evolutionary Computation - nouveau livre

2006, ISBN: 9780471669517

ID: 9780471669517

Evolutionary Computation: Hardback: John Wiley & Sons Inc: 9780471669517: 03 Feb 2006: The revised and significantly expanded third edition of Evolutionary Computation presents the latest advances in the theory and practice of evolutionary computation. Highlighting the relationship between learning and intelligence, the book shows readers how to use simulated evolution to achieve machine intelligence. This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each c. Artificial Intelligence, , , , Evolutionary Computation, David B. Fogel, 9780471669517, John Wiley & Sons Inc, , , , ,, [PU: Wiley]

Nouveaux livres Wordery.com
MPN: , SKU 9780471669517 Frais d'envoiPreise variieren je nach Lieferland., Livraison non-comprise
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence - Fogel, David B.
Livre non disponible
(*)
Fogel, David B.:
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence - livre d'occasion

ISBN: 9780471669517

ID: 1569191

This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well. This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence Fogel, David B., IEEE Computer Society Press

livre d'occasion Betterworldbooks.com
Frais d'envoizzgl. Versandkosten, Livraison non-comprise
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Evolutionary Computation
Livre non disponible
(*)
Evolutionary Computation - nouveau livre

2006, ISBN: 9780471669517

ID: 9780471669517

Evolutionary Computation: Hardback: John Wiley & Sons Inc: 9780471669517: 03 Feb 2006: The revised and significantly expanded third edition of Evolutionary Computation presents the latest advances in the theory and practice of evolutionary computation. Highlighting the relationship between learning and intelligence, the book shows readers how to use simulated evolution to achieve machine intelligence. This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each c. Artificial Intelligence, , , , , , , , , , , ,, [PU: Wiley]

Nouveaux livres Wordery.com
MPN: , SKU 9780471669517 Frais d'envoiPreise variieren je nach Lieferland., Livraison non-comprise
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Third Edition - David B. Fogel
Livre non disponible
(*)
David B. Fogel:
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Third Edition - livre d'occasion

ISBN: 0471669512

ID: 3248169

This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date wi 3d graphics,artificial intelligence,artificial life,biology and life sciences,business and management,computer mathematics,computer science,computers,computers and technology,electrical and electronics Evolution, Wiley-IEEE Press

livre d'occasion Thriftbooks.com
used Frais d'envoizzgl. Versandkosten, Livraison non-comprise
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.

< Retour aux résultats de recherche...
Détails sur le livre
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence
Auteur:

Fogel, David B.

Titre:

Evolutionary Computation: Toward a New Philosophy of Machine Intelligence

ISBN:

9780471669517

This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of newand revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well. This is a must-have referenc

Informations détaillées sur le livre - Evolutionary Computation: Toward a New Philosophy of Machine Intelligence


EAN (ISBN-13): 9780471669517
ISBN (ISBN-10): 0471669512
Version reliée
Date de parution: 2006
Editeur: John Wiley & Sons
274 Pages
Poids: 0,526 kg
Langue: eng/Englisch

Livre dans la base de données depuis 05.07.2007 12:59:13
Livre trouvé récemment le 09.03.2017 12:24:15
ISBN/EAN: 9780471669517

ISBN - Autres types d'écriture:
0-471-66951-2, 978-0-471-66951-7

< Retour aux résultats de recherche...
< pour archiver...
Livres en relation