Cover image for Computational intelligence in manufacturing handbook
Title:
Computational intelligence in manufacturing handbook
Author:
Wang, Jun (Jun Li Jim)
ISBN:
9780429127854
Physical Description:
1 online resource (576 pages)
Series:
Mechanical engineering

Advanced topics in mechanical engineering series.
Contents:
part Part I: Overview -- chapter 1 Computational Intelligence for Manufacturing -- chapter 2 Neural Network Applications in Intelligent Manufacturing: An Updated Survey -- chapter 3 Holonic Metamorphic Architectures for Manufacturing: Identifying Holonic Identifying Holonic Structures in Multiagent Systems by Fuzzy Modeling -- part Part II: Manufacturing System Modeling and Design -- chapter 4 Neural Network Applications for Group Technology and Cellular Manufacturing -- chapter 5 Application of Fuzzy Set Theory in Flexible Manufacturing System Design -- chapter 6 Genetic Algorithms in Manufacturing System Design -- chapter 7 Intelligent Design Retrieving Systems Using Neural Networks -- part Part III: Process Planning and Scheduling -- chapter 8 Soft Computing for Optimal Planning and Sequencing of Paralleg Machining Operations -- chapter 9 Application of Genetic Algorithms and Simulated Annealing in Process Planning Optimization / chapter 10 Production Planning and Scheduling Using Genetic Algorithms / part Part IV: Manufacturing Process Monitoring and Control -- chapter 11 Neural Network Predictive Process Models: Three Diverse Manufacturing Applications / chapter 12 Neural Network Applications to Manufacturing Processes: Monitoring and Control / chapter 13 Computational Intelligence in Microelectronics Manufacturing / chapter 14 Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory / chapter 15 Fuzzy Neural Network and Wavelet for Tool Condition Monitoring / part Part V: Quality Assurance and Fault Diagnosis -- chapter 16 Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations / chapter 17 Intelligent Quality Controllers for On-Line Parameter Design / chapter 18 A Hybrid Neural Fuzzy System for Statistical Process Control / chapter 19 RClass*: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis
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E-Book 539901-1001 TS155.6 .W36 2001
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