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Volumn 11, Issue 2, 2007, Pages 105-113

Back propagation neural network based modeling of multi-response of an electrical discharge machining process

Author keywords

Back propagation neural network (BPNN); Electrical discharge machining (EDM); Process modeling; Surface roughness

Indexed keywords


EID: 85013584646     PISSN: 13272314     EISSN: 18758827     Source Type: Journal    
DOI: 10.3233/KES-2007-11203     Document Type: Article
Times cited : (10)

References (7)
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    • Tsai, K.1    Wang, P.2
  • 4
    • 0031236163 scopus 로고    scopus 로고
    • Aneutral-network approach for the online monitoring of the electrical discharge machining process
    • J.Y. Kao and Y.S. Tarng, Aneutral-network approach for the online monitoring of the electrical discharge machining process, J of Mat Proc Tech 69 (1997), 112-119.
    • (1997) J of Mat Proc Tech , vol.69 , pp. 112-119
    • Kao, J.Y.1    Tarng, Y.S.2
  • 5
    • 4043075025 scopus 로고    scopus 로고
    • Optimization of the electrical discharge machining process using a GA-based neural network
    • J.C. Su, J.Y. Kao and Y.S. Tarng, Optimization of the electrical discharge machining process using a GA-based neural network, Int J Adv Manuf Tech 24 (2004), 81-90.
    • (2004) Int J Adv Manuf Tech , vol.24 , pp. 81-90
    • Su, J.C.1    Kao, J.Y.2    Tarng, Y.S.3
  • 7
    • 2942580958 scopus 로고    scopus 로고
    • The study of high efficiency and intelligent optimization system in EDM sinking process
    • C. Fenggou and Y. Dayong, The study of high efficiency and intelligent optimization system in EDM sinking process, J Mat Proc Tech 149 (2004), 83-87.
    • (2004) J Mat Proc Tech , vol.149 , pp. 83-87
    • Fenggou, C.1    Dayong, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.