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Volumn 9, Issue 1, 2008, Pages 104-108

Parameter optimization model in electrical discharge machining process

Author keywords

Artificial neural network (ANN); Electrical discharge machining (EDM); Genetic algorithm (GA); Levenberg Marquardt algorithm

Indexed keywords

GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 37749029995     PISSN: 1673565X     EISSN: 18621775     Source Type: Journal    
DOI: 10.1631/jzus.A071242     Document Type: Article
Times cited : (55)

References (10)
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    • Kuriakose, S., Shunmugam, M.S., 2005. Multi-objective optimization of wire-electro discharge machining process by non-dominated sorting genetic algorithm. Journal of Materials Processing Technology, 170(1-2):133-141. [doi:10.1016/j.jmatprotec.2005.04.105]
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    • Li, X.L., Yin, G.F., Lin, C.Y., 2004. Tool wear prediction in electrical discharge milling machining based on evolutionary neural network. Chinese Journal of Mechanical Engineering, 40(3):61-64 (in Chinese).
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    • Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II
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    • Mandal, D., Pal, S.K., Saha, P., 2007. Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II. Journal of Materials Processing Technology, 186(1-3):154-162. [doi:10.1016/j.jmatprotec. 2006.12.030]
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    • Mandal, D.1    Pal, S.K.2    Saha, P.3
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    • Predictions on surface finish in electrical discharge machining based upon neural network models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.