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180331s2001 flua ob 001 0 eng d |
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|a 9780429127854
|q (e-book : PDF)
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|z 9780849305924
|q (hardback)
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|a 10.1201/9781420041934
|2 doi
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|a (OCoLC)437168306
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|a 9780429127854
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|a FlBoTFG
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|d UtOrBLW
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|a WENN
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|a TS155.6
|b .W36 2001
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|a 658.514
|b C738
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|a Computational intelligence in manufacturing handbook /
|c edited by Jun Wang and Andrew Kusiak.
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|a Boca Raton, FL :
|b CRC Press,
|c 2001.
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|a 1 online resource (576 pages).
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Mechanical engineering
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|t part Part I: Overview --
|t chapter 1 Computational Intelligence for Manufacturing --
|t chapter 2 Neural Network Applications in Intelligent Manufacturing: An Updated Survey --
|t chapter 3 Holonic Metamorphic Architectures for Manufacturing: Identifying Holonic Identifying Holonic Structures in Multiagent Systems by Fuzzy Modeling --
|t part Part II: Manufacturing System Modeling and Design --
|t chapter 4 Neural Network Applications for Group Technology and Cellular Manufacturing --
|t chapter 5 Application of Fuzzy Set Theory in Flexible Manufacturing System Design --
|t chapter 6 Genetic Algorithms in Manufacturing System Design --
|t chapter 7 Intelligent Design Retrieving Systems Using Neural Networks --
|t part Part III: Process Planning and Scheduling --
|t chapter 8 Soft Computing for Optimal Planning and Sequencing of Paralleg Machining Operations --
|t chapter 9 Application of Genetic Algorithms and Simulated Annealing in Process Planning Optimization /
|r Y. F. Zhang · A. Y. C. Nee --
|t chapter 10 Production Planning and Scheduling Using Genetic Algorithms /
|r Runwei Cheng · Mitsuo Gen --
|t part Part IV: Manufacturing Process Monitoring and Control --
|t chapter 11 Neural Network Predictive Process Models: Three Diverse Manufacturing Applications /
|r Sarah S. Y. Lam · Alice E. Smith --
|t chapter 12 Neural Network Applications to Manufacturing Processes: Monitoring and Control /
|r Hyung Suck Cho --
|t chapter 13 Computational Intelligence in Microelectronics Manufacturing /
|r Gary S. May --
|t chapter 14 Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory /
|r R. Du · Yangsheng Xu --
|t chapter 15 Fuzzy Neural Network and Wavelet for Tool Condition Monitoring /
|r Xiaoli Li --
|t part Part V: Quality Assurance and Fault Diagnosis --
|t chapter 16 Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations /
|r Joseph C. Chen --
|t chapter 17 Intelligent Quality Controllers for On-Line Parameter Design /
|r Ratna Babu Chinnam --
|t chapter 18 A Hybrid Neural Fuzzy System for Statistical Process Control /
|r Shing I Chang --
|t chapter 19 RClass*: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis /
|r Li-Pheng Khoo · Lian-Yin Zhai.
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|a Computational intelligence
|x Industrial applications.
|0 sh 94004659
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|a Manufacturing processes
|x Automation.
|0 sh 88004818
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|a Production management
|x Data processing.
|0 sh 85107217
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|a Wang, Jun
|q (Jun Li Jim)
|0 n 95015389
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|a Kusiak, Andrew.
|0 n 85156468
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|i Print version:
|z 9780849305924
|w (DLC) 049826
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|a Advanced topics in mechanical engineering series.
|0 n 95022413
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|a 2450301
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|a Wentworth Institute of Technology
|b Main Campus
|c Wentworth Library
|d Ebooks
|t 0
|e CRC
|h Other scheme
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4 |
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|t 0
|u https://ezproxywit.flo.org/login?qurl=https://www.taylorfrancis.com/books/9781420041934
|y Full text (WIT users only)
|