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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 - nuovo livro

ISBN: 9783642045134

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) c… mais…

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control | Oscar Castillo (u. a.) | Buch | IX | Englisch | 2009 | Springer | EAN 9783642045134 - Castillo, Oscar
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Castillo, Oscar:

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control | Oscar Castillo (u. a.) | Buch | IX | Englisch | 2009 | Springer | EAN 9783642045134 - nuovo livro

2009, ISBN: 9783642045134

[PU: Springer], 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 … mais…

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control, Gebunden
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control, Gebunden - nuovo livro

2009

ISBN: 3642045138

Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent sys… mais…

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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 - Livro de bolso

2010, ISBN: 9783642045134

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - Castillo, Oscar und Witold Pedrycz
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2009, ISBN: 9783642045134

[PU: Springer Berlin], Neubindung, Buchschnitt leicht verkürzt, 1. Aufl. 5923841/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2010, Banküberweisung, PayPal, Klarna-Sofor… mais…

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Evolutionary Design of Intelligent Systems in Modeling Simulation and Control
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Número ISBN:

3642045138


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.

Dados detalhados do livro - Evolutionary Design of Intelligent Systems in Modeling Simulation and Control


EAN (ISBN-13): 9783642045134
ISBN (ISBN-10): 3642045138
Livro de capa dura
Livro de bolso
Ano de publicação: 2009
Editor/Editora: Springer Berlin
325 Páginas
Peso: 0,651 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-05-10T06:15:42-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-03-01T16:27:23-03:00 (Sao Paulo)
Número ISBN/EAN: 3642045138

Número ISBN - Ortografia alternativa:
3-642-04513-8, 978-3-642-04513-4
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: castillo, pedrycz witold, ricardo martínez
Título do livro: control system design, modeling and simulation, intelligent design, computational design, evolution design, modelling control design, design systems, oscar

Dados da editora

Autor: Oscar Castillo; Witold Pedrycz
Título: Studies in Computational Intelligence; Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Editora: Springer; Springer Berlin
327 Páginas
Ano de publicação: 2009-10-09
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
IX, 327 p.

BB; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; agents; algorithms; cognition; control; evolution; fuzzy; fuzzy logic; learning; modeling; neural network; neural networks; pattern recognition; robot; robotics; simulation; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BC

Intelligent Control.- Optimization of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization.- Evolutionary Optimization of Type-2 Fuzzy Logic Systems Applied to Linear Plants.- Multi-Agent System with Fuzzy Logic Control for Autonomous Mobile Robots in Known Environments.- Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems.- Centralized Direct and Indirect Neural Control of Distributed Parameter Systems.- Pattern Recognition.- An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction.- Optimization of Fuzzy Response Integrators in Modular Neural Networks with Hierarchical Genetic Algorithms: The Case of Face, Fingerprint and Voice Recognition.- Modular Neural Network with Fuzzy Integration of Responses for Face Recognition.- A Modular Neural Network with Fuzzy Response Integration for Person Identification Using Biometric Measures.- Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration.- Learning and Social Simulation.- A Hybrid Recommender System Architecture for Learning Objects.- TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation.- Fuzzy Personality Model Based on Transactional Analysis and VSM for Socially Intelligent Agents and Robots.- Robotics and Hardware Implementations.- Controlling Unstable Non-Minimum-Phase Systems with Fuzzy Logic: The Perturbed Case.- Genetic Optimization for the Design of Walking Patterns of a Biped Robot.- Design and Simulation of the Type-2 Fuzzification Stage: Using Active Membership Functions.- Methodology to Test and Validate a VHDL Inference Engine of a Type-2 FIS, through the Xilinx System Generator.- Modeling and Simulation of the Defuzzification Stage of a Type-2 Fuzzy Controller Using the Xilinx System Generator and Simulink.
Recent results in Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
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