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.

Keywords: fractal theory, fuzzy logic, intelligent manufacturing, neural networks, soft computing

Contents

• Introduction
• Type-1 Fuzzy Logic
• Type-2 Fuzzy Logic
• Supervised Learning Neural Networks
• Unsupervised Learning Neural Networks
• Genetic Algorithms and Simulated Annealing
• Dynamical Systems Theory
• Plant Monitoring and Diagnostics
• Adaptive Control of Non-Linear Plants
• Automated Quality Control in Sound Speaker Manufacturing
• Intelligent Manufacturing of Television Sets
• Intelligent Manufacturing of Batteries