메뉴 건너뛰기




Volumn 33, Issue 5, 1995, Pages 1229-1240

Neuro-fuzzy GMDH and its application to modelling grinding characteristics

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIONAL DATUM; FUZZY-REASONING MODELS; GAUSSIAN RADIAL BASIS FUNCTIONS; GRINDING CHARACTERISTICS; GROUP METHOD OF DATA HANDLING; HIERARCHICAL STRUCTURES; INPUT AND OUTPUTS; WHEEL VELOCITIES;

EID: 0038653104     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207549508930206     Document Type: Article
Times cited : (29)

References (7)
  • 2
    • 84963342677 scopus 로고
    • Advances in linguistic synthesis offuzzy controls
    • MAMDANI, E. H., 1976, Advances in linguistic synthesis offuzzy controls. International Journal of Man-Machine Studies, 8 (6), 669-678.
    • (1976) International Journal of Man-Machine Studies , vol.8 , Issue.6 , pp. 669-678
    • Mamdani, E.H.1
  • 4
    • 0000672424 scopus 로고
    • Fast learning in networks of focally-tuned processing unit
    • MOODY, J., and DARKEN, C. J., 1989, Fast learning in networks of focally-tuned processing unit. Neural Computation, 1, 281-294.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 5
    • 84908855214 scopus 로고
    • Neuromine nets as the basis for the predictive component of robot brains
    • New York: Spartan Books
    • MUCCIARDI, A. N., 1972, Neuromine nets as the basis for the predictive component of robot brains. Cybernetics, Artificial Intelligence & Ecology (New York: Spartan Books), pp.159-194.
    • (1972) Cybernetics, Artificial Intelligence & Ecology , pp. 159-194
    • Mucciardi, A.N.1
  • 6
    • 0023483831 scopus 로고
    • Optimum combination of operating parameters in abrasive cut-off
    • NAGASAKA, K. et al., 1987, Optimum combination of operating parameters in abrasive cut-off. International Journal of Machine Tools & Manufacture, 27 (2), 167-179.
    • (1987) International Journal of Machine Tools & Manufacture , vol.27 , Issue.2 , pp. 167-179
    • Nagasaka, K.1
  • 7
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multilayer networks
    • POGGIO, T., and GIROSI, F., 1990, Regularization algorithms for learning that are equivalent to multilayer networks. Sciences, 247, 978-982.
    • (1990) Sciences , vol.247 , pp. 978-982
    • Poggio, T.1    Girosi, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.