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Volumn 1, Issue , 2001, Pages 476-481

Thrust force control of drilling system using neural network

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FORCE CONTROL; LEARNING ALGORITHMS; NEURAL NETWORKS; SENSORS;

EID: 0034874158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (29)
  • 4
    • 0032678605 scopus 로고    scopus 로고
    • Implementation of indirect neuro-control ofr nonlinear dynamic systems
    • (1999) Machatronics , vol.9 , pp. 675-686
    • Jang, J.O.1
  • 11
    • 0034058275 scopus 로고    scopus 로고
    • Improving the tolerance of multiplyer perceptrons by minimizing the statistical sensitivity to weight deviations
    • (2000) Neurocomputing , vol.31 , pp. 87-103
    • Bernier, J.L.1
  • 13
    • 0032183513 scopus 로고    scopus 로고
    • Autonomous cutting parameter regulation using adaptive modeling and genetic algorithms
    • (1998) Precesion Engineering , vol.22 , Issue.4 , pp. 243-251
    • Ko, T.J.1
  • 14
    • 0032677982 scopus 로고    scopus 로고
    • Fuzzy model and hierarchical fuzzy control integration: An approach for milling process optimization
    • (1999) Computer in Industrial , vol.39 , pp. 199-207
    • Peres, C.R.1
  • 28
    • 0028467526 scopus 로고
    • Applications of the fuzzy control strategy to adaptive force control of non-minimum phase and milling operations
    • (1994) Int. J. Mach. Tools and Manuf. , vol.34 , Issue.5 , pp. 677-696
    • Kim, M.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.