Computational Intelligence in Manufacturing Handbook

✍ Scribed by Wang, Jun(Editor)

• Publisher: CRC Press
• Year: 2000
• Tongue: English
• Leaves: 573
• Category: Library

✦ Synopsis

Despite the large volume of publications devoted to neural networks, fuzzy logic, and evolutionary programming, few address the applications of computational intelligence in design and manufacturing. Computational Intelligence in Manufacturing Handbook fills this void as it covers the most recent advances in this area and state-of-the-art applications.
This comprehensive handbook contains an excellent balance of tutorials and new results, that allows you to:

obtain current information

understand technical details

assess research potentials, and

define future directions of the field

Manufacturing applications play a leading role in progress, and this handbook gives you a ready reference to guide you easily through these developments.

✦ Table of Contents

Front cover......Page 1
Preface......Page 6
Editors......Page 8
Contributors......Page 9
Table of Contents......Page 11
Part I: Overview......Page 16
Chapter 1. Computational Intelligence for Manufacturing......Page 18
Chapter 2. Neural Network Applications in Intelligent Manufacturing: An Updated Survey......Page 46
Chapter 3. Holonic Metamorphic Architectures for Manufacturing: Identifying Holonic Identifying Holonic Structures in Multiagent Systems by Fuzzy Modeling......Page 74
Part II: Manufacturing System Modeling and Design......Page 120
Chapter 4. Neural Network Applications for Group Technology and Cellular Manufacturing......Page 122
Chapter 5. Application of Fuzzy Set Theory in Flexible Manufacturing System Design......Page 144
Chapter 6. Genetic Algorithms in Manufacturing System Design......Page 172
Chapter 7. Intelligent Design Retrieving Systems Using Neural Networks......Page 198
Part III: Process Planning and Scheduling......Page 208
Chapter 8. Soft Computing for Optimal Planning and Sequencing of Paralleg Machining Operations......Page 210
Chapter 9. Applciation of Genetic Algorithms and Simulated Annealing in Process Planning Optimization......Page 244
Chapter 10. Production Planning and Scheduling Using Genetic Algorithms......Page 270
Part IV: Manufacturing Process Monitoring and Control......Page 304
Chapter 11. Neural Network Predictive Process Models: Three Diverse Manufacturing Applications......Page 306
Chapter 12. Neural Network Applications to Manufacturing Processes: Monitoring and Control......Page 318
Chapter 13. Computational Intelligence in Microelectronics Manufacturing......Page 352
Chapter 14. Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory......Page 408
Chapter 15. Fuzzy Neural Network and Wavelet for Tool Condition Monitoring......Page 436
Part V: Quality Assurance and Fault Diagnosis......Page 471
Chapter 16. Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations......Page 473
Chapter 17. Intelligent Quality Controllers for On-Line Parameter Design......Page 491
Chapter 18. A Hybrid Neural Fuzzy System for Statistical Process Control......Page 517
Chapter 19. RClass*: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis......Page 539
Index......Page 559
Back cover......Page 573