Ebook: 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 intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory.

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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.

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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.
Content:
Front Matter....Pages i-xiv
Introduction....Pages 1-4
Type-1 Fuzzy Logic....Pages 5-31
Type-2 Fuzzy Logic....Pages 33-46
Supervised Learning Neural Networks....Pages 47-73
Unsupervised Learning Neural Networks....Pages 75-92
Genetic Algorithms and Simulated Annealing....Pages 93-125
Dynamical Systems Theory....Pages 127-149
Plant Monitoring and Diagnostics....Pages 151-165
Adaptive Control of Non-Linear Plants....Pages 167-184
Automated Quality Control in Sound Speaker Manufacturing....Pages 185-206
Intelligent Manufacturing of Television Sets....Pages 207-225
Intelligent Manufacturing of Batteries....Pages 227-266
Back Matter....Pages 267-283

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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.
Content:
Front Matter....Pages i-xiv
Introduction....Pages 1-4
Type-1 Fuzzy Logic....Pages 5-31
Type-2 Fuzzy Logic....Pages 33-46
Supervised Learning Neural Networks....Pages 47-73
Unsupervised Learning Neural Networks....Pages 75-92
Genetic Algorithms and Simulated Annealing....Pages 93-125
Dynamical Systems Theory....Pages 127-149
Plant Monitoring and Diagnostics....Pages 151-165
Adaptive Control of Non-Linear Plants....Pages 167-184
Automated Quality Control in Sound Speaker Manufacturing....Pages 185-206
Intelligent Manufacturing of Television Sets....Pages 207-225
Intelligent Manufacturing of Batteries....Pages 227-266
Back Matter....Pages 267-283
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