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Volumn 34, Issue 2, 2003, Pages 143-156

Dynamic S-function for geometrical error compensation based on neural network approximations

Author keywords

Algorithm; Compensation; Function; Geometrical error; Precision

Indexed keywords

APPROXIMATION THEORY; ERROR ANALYSIS; NEURAL NETWORKS;

EID: 0038824991     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0263-2241(03)00024-1     Document Type: Article
Times cited : (9)

References (8)
  • 1
    • 0002896990 scopus 로고
    • The determination of the volumetric accuracy of multi axis machines
    • Love W.J., Scarr A.J. The determination of the volumetric accuracy of multi axis machines. 14th MTDR:1973;307-315.
    • (1973) 14th MTDR , pp. 307-315
    • Love, W.J.1    Scarr, A.J.2
  • 5
    • 0023170388 scopus 로고
    • Error diagnosis and compensation using kinematic models and position error data
    • Duffie N.A., Maimberg S.J. Error diagnosis and compensation using kinematic models and position error data. Annals of the CIRP. 36:(1):1987;355-358.
    • (1987) Annals of the CIRP , vol.36 , Issue.1 , pp. 355-358
    • Duffie, N.A.1    Maimberg, S.J.2
  • 6
    • 0034295922 scopus 로고    scopus 로고
    • Geometrical error compensation of precision motion systems using radial basis functions
    • Tan K.K., Huang S.N., Seet H.L. Geometrical error compensation of precision motion systems using radial basis functions. IEEE Trans. Instrument Measurement. 49:(5):2000;984-991.
    • (2000) IEEE Trans. Instrument Measurement , vol.49 , Issue.5 , pp. 984-991
    • Tan, K.K.1    Huang, S.N.2    Seet, H.L.3
  • 7
    • 0024880831 scopus 로고
    • Multiilayer feedforward networks are universal approximators
    • Hornik K., Stinchcombe M., White H. Multiilayer feedforward networks are universal approximators. Neural Networks. 2:1989;359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.