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Volumn 13, Issue SUPPL., 2005, Pages 227-231

Strategies to the noise contained in experimental data in RBF neural network model

Author keywords

Data modeling; Noise; Over fitting; Radial basis function network

Indexed keywords

ACOUSTIC NOISE; CALIBRATION; DATA PROCESSING; DEFECTS; ERRORS; EXPERIMENTS; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 32844469031     PISSN: 1004924X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (9)
  • 1
    • 32844465610 scopus 로고    scopus 로고
    • Establishment and verification of measurement model based on neural networks
    • Chinese source
    • ZHU J M, WANG ZH Y, LU Y Q, et al. Establishment and verification of measurement model based on neural networks [J]. Optics and Precision Engineering, 2000, 8(4): 389-393. (in Chinese).
    • (2000) Optics and Precision Engineering , vol.8 , Issue.4 , pp. 389-393
    • Zhu, J.M.1    Wang, Z.Y.2    Lu, Y.Q.3
  • 2
    • 32844465823 scopus 로고    scopus 로고
    • Model establishment and control of grinding process of a leadscrew by artificial neural network
    • Chinese source
    • SONG H T, BIN H Z. Model establishment and control of grinding process of a leadscrew by artificial neural network [J]. Optics and Precision Engineering, 2001, 9(4): 364-367. (in Chinese)
    • (2001) Optics and Precision Engineering , vol.9 , Issue.4 , pp. 364-367
    • Song, H.T.1    Bin, H.Z.2
  • 5
    • 0141774832 scopus 로고
    • Beijing: Beijing Institute of Technology Press, Chinese source
    • LIN H H. Data processing of dynamic measurement [M]. Beijing: Beijing Institute of Technology Press, 1995. (in Chinese)
    • (1995) Data Processing of Dynamic Measurement
    • Lin, H.H.1
  • 7
    • 0038355079 scopus 로고    scopus 로고
    • Automatic basis selection techniques for RBF networks
    • ALI G, DALE S. Automatic basis selection techniques for RBF networks [J]. Neural Networks, 2003, 16: 809-816.
    • (2003) Neural Networks , vol.16 , pp. 809-816
    • Ali, G.1    Dale, S.2
  • 8
    • 0036962329 scopus 로고    scopus 로고
    • Over-fitting in neural network learning algorithms and its solving strategies
    • Chinese source
    • LI J CH, QIN G J, WEN X S, et al. Over-fitting in neural network learning algorithms and its solving strategies [J]. Journal of Vibration, Measurement and Diagnosis, 2002, 22(4): 260-265. (in Chinese)
    • (2002) Journal of Vibration, Measurement and Diagnosis , vol.22 , Issue.4 , pp. 260-265
    • Li, J.C.1    Qin, G.J.2    Wen, X.S.3
  • 9
    • 0345688978 scopus 로고    scopus 로고
    • Determination of the spread parameter in the Gaussian kernel for classification and regression
    • WANG W J, XU Z B, LU W ZH, et al. Determination of the spread parameter in the Gaussian kernel for classification and regression [J]. Neurocomputing, 2003, 55: 643-663.
    • (2003) Neurocomputing , vol.55 , pp. 643-663
    • Wang, W.J.1    Xu, Z.B.2    Lu, W.Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.