Soft Computing and Fractal Theory for Intelligent Manufacturing
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, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligen...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg
Physica
2003, 2003
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| Edition: | 1st ed. 2003 |
| Series: | Studies in Fuzziness and Soft Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 2 Type-1 Fuzzy Logic
- 2.1 Type-1 Fuzzy Set Theory
- 2.2 Fuzzy Rules and Fuzzy Reasoning
- 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
- 3.4 Summary
- 4 Supervised Learning Neural Networks
- 4.1 Backpropagation for Feedforward Networks
- 4.2 Radial Basis Function Networks
- 4.3 Adaptive Neuro-Fuzzy Inference Systems
- 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
- 6.3 Simulated Annealing
- 6.4 Applications of Genetic Algorithms
- 6.5 Summary
- 7 Dynamical Systems Theory
- 7.1 Basic Concepts of Dynamical Systems
- 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
- 12.2 Hardware Implementation of the Fuzzy Controller for the Charging Process
- 12.3 Automated Quality Control of Batteries
- 12.4 Summary
- 7.2 Controlling Chaos
- 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
- 9.3 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
- 10.3 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
- 11.3 Breeder Genetic Algorithm for Optimization