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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - Oscar Castillo
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Oscar Castillo:

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - neues Buch

ISBN: 9783642045134

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al., [SC: 0.00], Neuware, gewerbliches Angebot, 242x164x30 mm, [GW: 651g]

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - Oscar Castillo
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Oscar Castillo:

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - neues Buch

ISBN: 9783642045134

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al., [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, [GW: 651g]

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - Oscar Castillo
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Oscar Castillo:
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - neues Buch

2009

ISBN: 9783642045134

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al., [SC: 0.00]

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - neues Buch

ISBN: 9783642045134

ID: 978364204513

The editors describe in this book, new methods for evolutionary design of intelligent systems using soft computing and their applications in modeling, simulation and control. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part contains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary algorithms for optimizing modular neural networks with fuzzy systems for response integration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning objects and social agents. The fourth part contains papers that deal with intelligent systems in robotics applications and hardware implementations. Books, Science and Nature, Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control Books>Science and Nature, Springer

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - Castillo, Oscar (Herausgeber); Pedrycz, Witold (Herausgeber)
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2009, ISBN: 3642045138

ID: A7394981

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Details zum Buch
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Autor:

Oscar Castillo

Titel:

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

ISBN-Nummer:

9783642045134

The editors describe in this book, new methods for evolutionary design of intelligent systems using soft computing and their applications in modeling, simulation and control. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part contains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary algorithms for optimizing modular neural networks with fuzzy systems for response integration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning objects and social agents. The fourth part contains papers that deal with intelligent systems in robotics applications and hardware implementations.

Detailangaben zum Buch - Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control


EAN (ISBN-13): 9783642045134
ISBN (ISBN-10): 3642045138
Gebundene Ausgabe
Erscheinungsjahr: 2009
Herausgeber: Springer-Verlag GmbH
325 Seiten
Gewicht: 0,651 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 10.05.2007 11:15:42
Buch zuletzt gefunden am 28.10.2016 15:20:02
ISBN/EAN: 9783642045134

ISBN - alternative Schreibweisen:
3-642-04513-8, 978-3-642-04513-4

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