This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series predicti
Design And Implementation Of Intelligent Manufacturing Systems: From Expert Systems, Neural Networks, To Fuzzy Logic
โ Scribed by Hamid R. Parsaei, Mohammed Jamshidi.
- Publisher
- Pearson Education
- Year
- 1995
- Tongue
- English
- Leaves
- 403
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Cover
CONTENTS
Chapter 1. Workcell Programming Language for Intelligent Manufacturing Systems
Chapter 2. An Intelligent System for Automating the Inspection of Manufacturing Parts
Chapter 3. An Intelligent Hybrid System for Synthesis and Control of a Metal Forming Process
Chapter 4. Intelligent Diagnostics in Robotics and Integrated Manufacturing Systems
Chapter 5. Fuzzy Logic Controller for Part Routing
Chapter 6. Fuzzy-Logic Control as an Industrial Control Language for Embedded Controllers
Chapter 7. Using Neural Networks for the Automatic Monitoring and Recognition of Signals in Manufacturing Processes
Chapter 8. Artificial Neural Network Approach in Modeling of EDM and Wire-EDM Processes
Chapter 9. A Knowledge-Based Expert System for Selection of Industrial Robots
Chapter 10. A Case-Based Knowledge System to Trouble Shoot Failures in a Manufacturing Environment
Chapter 11. Partially-overlapped Systems: the Scheduling Problem
Chapter 12. An Object-Oriented Approach to Feature-Based Process Planning
Chapter 13. Intelligent Feature Extraction for Concurrent Design and Manufacturing
Chapter 14. CAD in Automatic Machine Programming
Chapter 15. Fault Diagnosis of Large Manufacturing Processes
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