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Soft Computing and Fractal Theory for Intelligent Manufacturing
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ISBN: 9783790815474

We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, includ… Plus…

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Soft Computing and Fractal Theory for Intelligent Manufacturing. - Oscar and Patricia Melin Castillo
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2003, ISBN: 3790815470

[EAN: 9783790815474], [SC: 4.0], [PU: Germany Physica-Verlag Heidelberg], FRACTALS MANUFACTURING PROCESSES SOFT COMPUTING MATHEMATICS GEOMETRY GENERAL TECHNOLOGY FRACTAL THEORY; FUZZY LOG… Plus…

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Oscar and Patricia Melin Castillo:
Soft Computing and Fractal Theory for Intelligent Manufacturing. - edition reliée, livre de poche

2003

ISBN: 3790815470

[EAN: 9783790815474], [PU: Germany Physica-Verlag Heidelberg], FRACTALS MANUFACTURING PROCESSES SOFT COMPUTING MATHEMATICS GEOMETRY GENERAL TECHNOLOGY FRACTAL THEORY; FUZZY LOGIC; INTELLI… Plus…

Frais d'envoi EUR 4.00 CSG Onlinebuch GMBH, Darmstadt, Germany [85260580] [Rating: 5 (von 5)]
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Soft Computing and Fractal Theory for Intelligent Manufacturing - Livres de poche

2003, ISBN: 9783790815474

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Oscar Castillo; Patricia Melin:
Soft Computing and Fractal Theory for Intelligent Manufacturing - edition reliée, livre de poche

2003, ISBN: 9783790815474

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Soft Computing and Fractal Theory for Intelligent Manufacturing

The book describes the application of soft computing techniques and fractal theory to intelligent manufacturing. Hybrid intelligent systems, which integrate different soft computing techniques and fractal theory, are also presented. The text covers the basics of fuzzy logic, neural networks, genetic algorithms, simulated annealing, chaos and fractal theory. It also describes in detail different hybrid architectures for developing intelligent manufacturing systems for applications in automated quality control, process monitoring and diagnostics, adaptive control of non-linear plants, and time series prediction. Real-world applications covered in this book include: tuning of televisions, battery charging, sound speaker testing, fruit classification, and stepping motors.

Informations détaillées sur le livre - Soft Computing and Fractal Theory for Intelligent Manufacturing


EAN (ISBN-13): 9783790815474
ISBN (ISBN-10): 3790815470
Version reliée
Livre de poche
Date de parution: 2003
Editeur: Physica-Verlag HD
300 Pages
Poids: 0,613 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-04-22T03:20:24+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-03-03T15:58:19+01:00 (Paris)
ISBN/EAN: 9783790815474

ISBN - Autres types d'écriture:
3-7908-1547-0, 978-3-7908-1547-4
Autres types d'écriture et termes associés:
Auteur du livre: castillo, oscar, fleischmann isa, melin
Titre du livre: computing with, manufacturing, soft computing, fractals, intelligent, fractal


Données de l'éditeur

Auteur: Oscar Castillo; Patricia Melin
Titre: Studies in Fuzziness and Soft Computing; Soft Computing and Fractal Theory for Intelligent Manufacturing
Editeur: Physica; Physica
283 Pages
Date de parution: 2003-01-22
Heidelberg; DE
Poids: 1,330 kg
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XIV, 283 p.

BB; Theory of Computation; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; Signal; Simulation; algorithm; dynamische Systeme; fractal theory; fuzzy control; fuzzy logic; fuzzy system; genetic algorithms; intelligent manufacturing; learning; modeling; neural networks; optimization; soft computing; complexity; Artificial Intelligence; Complexity; Special Purpose and Application-Based Systems; Industrial and Production Engineering; Theory of Computation; Artificial Intelligence; Applied Dynamical Systems; Special Purpose and Application-Based Systems; Industrial and Production Engineering; Künstliche Intelligenz; Mathematik für Ingenieure; Kybernetik und Systemtheorie; Wissensbasierte Systeme, Expertensysteme; Fertigungstechnik und Ingenieurwesen; BC; EA

1 Introduction.- 2 Type-1 Fuzzy Logic.- 2.1 Type-1 Fuzzy Set Theory.- 2.2 Fuzzy Rules and Fuzzy Reasoning.- 2.2.1 Fuzzy Relations.- 2.2.2 Fuzzy Rules.- 2.3 Fuzzy Inference Systems.- 2.4 Fuzzy Modelling.- 2.5 Summary.- 3 Type-2 Fuzzy Logic.- 3.1 Type-2 Fuzzy Sets.- 3.2 Operations of Type-2 Fuzzy Sets.- 3.3 Type-2 Fuzzy Systems.- 3.3.1 Singleton Type-2 Fuzzy Logic Systems.- 3.3.2 Non-Singleton Fuzzy Logic Systems.- 3.3.3 Sugeno Type-2 Fuzzy Systems.- 3.4 Summary.- 4 Supervised Learning Neural Networks.- 4.1 Backpropagation for Feedforward Networks.- 4.1.1 The Backpropagation Learning Algorithm.- 4.1.2 Backpropagation Multilayer Perceptrons.- 4.1.3 Methods for Speeding up Backpropagation.- 4.2 Radial Basis Function Networks.- 4.3 Adaptive Neuro-Fuzzy Inference Systems.- 4.3.1 ANFIS Architecture.- 4.3.2 Learning Algorithm.- 4.4 Summary.- 5 Unsupervised Learning Neural Networks.- 5.1 Competitive Learning Networks.- 5.2 Kohonen Self-Organizing Networks.- 5.3 Learning Vector Quantization.- 5.4 The Hopfield Network.- 5.5 Summary.- 6 Genetic Algorithms and Simulated Annealing.- 6.1 Genetic Algorithms.- 6.2 Modifications to Genetic Algorithms.- 6.2.1 Chromosome Representation.- 6.2.2 Objective Function and Fitness.- 6.2.3 Selection Methods.- 6.2.4 Genetic Operations.- 6.2.5 Parallel Genetic Algorithm.- 6.3 Simulated Annealing.- 6.4 Applications of Genetic Algorithms.- 6.4.1 Evolving Neural Networks.- 6.4.1.1 Evolving Weights in a Fixed Network.- 6.4.1.2 Evolving Network Architectures.- 6.4.2 Evolving Fuzzy Systems.- 6.5 Summary.- 7 Dynamical Systems Theory.- 7.1 Basic Concepts of Dynamical Systems.- 7.2 Controlling Chaos.- 7.2.1 Controlling Chaos through Feedback.- 7.2.1.1 Ott-Grebogi-Yorke Method.- 7.2.1.2 Pyragas’s Control Methods.- 7.2.1.3 Controlling Chaos by Chaos.- 7.2.2 Controlling Chaos without Feedback.- 7.2.2.1 Control through Operating Conditions.- 7.2.2.2 Control by System Design.- 7.2.2.3 Taming Chaos.- 7.2.3 Method Selection.- 7.3 Summary.- 8 Plant Monitoring and Diagnostics.- 8.1 Monitoring and Diagnosis.- 8.2 Fractal Dimension of a Geometrical Object.- 8.3 Fuzzy Estimation of the Fractal Dimension.- 8.4 Plant Monitoring with Fuzzy-Fractal Approach.- 8.5 Experimental Results.- 8.6 Summary.- 9 Adaptive Control of Non-Linear Plants.- 9.1 Fundamental Adaptive Fuzzy Control Concept.- 9.2 Basic Concepts of Stepping Motors.- 9.2.1 Variable Reluctance Motors.- 9.2.2 Unipolar Motors.- 9.2.3 Bipolar Motors.- 9.2.4 Dynamics of the Stepping Motor.- 9.2.5 Control of the Stepping Motor.- 9.3 Fuzzy Logic Controller of the Stepping Motor.- 9.4 Hardware Implementation of ANFIS.- 9.5 Experimental Results.- 9.6 Summary.- 10 Automated Quality Control in Sound Speaker Manufacturing.- 10.1 Introduction.- 10.2 Basic Concepts of Sound Speakers.- 10.2.1 Sound Basics.- 10.2.2 Making Sound.- 10.2.3 Chunks of the Frequency Range.- 10.2.4 Boxes of Sound.- 10.2.5 Alternative Speaker Designs.- 10.3 Description of the Problem.- 10.4 Fractal Dimension of a Sound Signal.- 10.5 Experimental Results.- 10.6 Summary.- 11 Intelligent Manufacturing of Television Sets.- 11.1 Introduction.- 11.2 Imaging System of the Television Set.- 11.2.1 The Cathode Ray Tube.- 11.2.2 Phosphor.- 11.2.3 The Black-and-White TV Signal.- 11.2.4 Adding Color.- 11.3 Breeder Genetic Algorithm for Optimization.- 11.3.1 Genetic Algorithm for Optimization.- 11.4 Automated Electrical Tuning of Television Sets.- 11.5 Intelligent System for Control.- 11.6 Simulation Results.- 11.7 Summary.- 12 Intelligent Manufacturing of Batteries.- 12.1 Intelligent Control of the Battery Charging Process.- 12.1.1 Problem Description.- 12.1.2 Fuzzy Method for Control.- 12.1.3 Neuro-Fuzzy Method for Control.- 12.1.4 Neuro-Fuzzy-Genetic Method for Control.- 12.2 Hardware Implementation of the Fuzzy Controller for the Charging Process.- 12.2.1 Introduction.- 12.2.2 Fuzzy Control.- 12.2.3 Implementation of the Fuzzy Controller.- 12.2.4 Experimental Results.- 12.3 Automated Quality Control of Batteries.- 12.3.1 Introduction.- 12.3.2 Fuzzy Controller.- 12.3.3 Fuzzy Control Implementation.- 12.4 Summary.

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