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Volumn 21, Issue 4, 2006, Pages 349-356

Optimal selection of machining conditions in the electrojet drilling process using hybrid NN-DF-GA approach

Author keywords

Artificial intelligence; Desirability function; Electrochemical machining; Electrojet drilling; Evolutionary techniques; Genetic algorithm; Hybrid modelling; Material removal rate; Micro hole drilling; Multiresponse optimization; Neural network

Indexed keywords

BACKPROPAGATION; GENETIC ALGORITHMS; MACHINING; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION;

EID: 33645719378     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910500411561     Document Type: Article
Times cited : (14)

References (19)
  • 1
    • 4444250325 scopus 로고    scopus 로고
    • Genetic algorithms in materials resign and processing
    • Chakraborti, N. Genetic algorithms in materials resign and processing. Int. Mater. Rev. 2004, 49 (3-4), 246-260.
    • (2004) Int. Mater. Rev. , vol.49 , Issue.3-4 , pp. 246-260
    • Chakraborti, N.1
  • 4
    • 0041653535 scopus 로고    scopus 로고
    • Evolutionary neural network modelling of blast furnace burden distribution
    • Petterson, F.; Hinnela, J.; Saxen, H. Evolutionary neural network modelling of blast furnace burden distribution. Materials and Manufacturing Processes 2003, 18 (3), 385-399.
    • (2003) Materials and Manufacturing Processes , vol.18 , Issue.3 , pp. 385-399
    • Petterson, F.1    Hinnela, J.2    Saxen, H.3
  • 5
    • 0036905441 scopus 로고    scopus 로고
    • Neuro-fuzzy and genetic algorithm in multiresponse optimization, computers and mathematics with applications
    • Cheng, C.B.; Cheng, C.J.; Lee, E.S. Neuro-fuzzy and genetic algorithm in multiresponse optimization, computers and mathematics with applications. An International Journal 2002, 44, 1503-1514.
    • (2002) An International Journal , vol.44 , pp. 1503-1514
    • Cheng, C.B.1    Cheng, C.J.2    Lee, E.S.3
  • 6
    • 0033722932 scopus 로고    scopus 로고
    • A hybrid genetic fuzzy neural network algorithm designed for classification problems involving several groups
    • Östermark, R. A hybrid genetic fuzzy neural network algorithm designed for classification problems involving several groups. Fuzzy Sets and Systems 2000, 114, 311-324.
    • (2000) Fuzzy Sets and Systems , vol.114 , pp. 311-324
    • Östermark, R.1
  • 12
    • 0043286836 scopus 로고    scopus 로고
    • Artificial neural networks applied to polymer composites: A review
    • Zhang, Z.; Friedrich, K. Artificial neural networks applied to polymer composites: a review. Composites Science and Technology 2003, 63, 2029-2044.
    • (2003) Composites Science and Technology , vol.63 , pp. 2029-2044
    • Zhang, Z.1    Friedrich, K.2
  • 13
    • 0034564603 scopus 로고    scopus 로고
    • Artificial neural networks: Fundamentals, computing, design and applications
    • Basheer, I.A.; Hajmear, M. Artificial neural networks: fundamentals, computing, design and applications. Journal of Microbiological Methods 2000, 43, 3-31.
    • (2000) Journal of Microbiological Methods , vol.43 , pp. 3-31
    • Basheer, I.A.1    Hajmear, M.2
  • 16
    • 0000432952 scopus 로고
    • Simultaneous optimization of several response variables
    • Derringer, G.; Suich, R. Simultaneous optimization of several response variables. Journal of Quality Technology 1980, 12 (4), 214-218.
    • (1980) Journal of Quality Technology , vol.12 , Issue.4 , pp. 214-218
    • Derringer, G.1    Suich, R.2
  • 18
    • 0000852513 scopus 로고
    • Multi-objective function optimization using non-dominated sorting genetic algorithms
    • Srinivas, N.; Deb, K. Multi-objective function optimization using non-dominated sorting genetic algorithms. Evolutionary Computation 1994, 2 (3), 221-248.
    • (1994) Evolutionary Computation , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 19
    • 0036493355 scopus 로고    scopus 로고
    • Multi-objective genetic algorithms applied to solve optimization problems
    • Alexandre, H.F.D.; Jöao A.V., J.A. Multi-objective genetic algorithms applied to solve optimization problems. IEEE Transactions on Magnetics 2002, 38 (2), 1133-1136.
    • (2002) IEEE Transactions on Magnetics , vol.38 , Issue.2 , pp. 1133-1136
    • Alexandre, H.F.D.1    Jöao, A.V.2    A., J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.