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Volumn 16, Issue 1, 2000, Pages

The application of artificial neural networks to monitoring and control of an induction hardening process

Author keywords

CAM; CIM; Computer Programming; Electronics; Manufacturing; Materials Processes; Production Quality Control; Research

Indexed keywords

COMPUTATIONAL MODELS; CONTROL CHARTS; INDUCTION COILS; INDUCTION HARDENING;

EID: 3242776232     PISSN: 08826404     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review
Times cited : (26)

References (15)
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  • 2
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  • 3
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    • Using designed experiments to produce robust neural network models of manufacturing processes
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  • 4
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    • Du, R., Elbestawi, M. A., and Wu, S. M., 1995, Automated monitoring of manufacturing processes, part 1: Monitoring methods. Journal of Engineering for Industry, 117, 121-132.
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  • 5
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    • Automated monitoring of manufacturing processes, part 2: Applications
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  • 6
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  • 7
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  • 8
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    • Neural-expert hybrid approach for intelligent manufacturing: A survey
    • Huang, S. H., and Zhang, H. C., 1995, Neural-expert hybrid approach for intelligent manufacturing: A survey. Computers in Industry, 26, 107-126.
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  • 9
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    • ANNs thinking for industry
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  • 14
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  • 15
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    • An overview of acoustic emission and neural networks technology and their applications in manufacturing process control
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.