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Volumn 37, Issue SUPPL., 2003, Pages 122-125

Comparative study of soft sensor models based on support vector machines and RBF neural networks

Author keywords

Modeling; RBF neural network; Soft sensor; Support vector machines (SVMs)

Indexed keywords

FINITE AUTOMATA; MATHEMATICAL MODELS; MEASUREMENTS;

EID: 2942644404     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (9)
  • 1
    • 2942690724 scopus 로고    scopus 로고
    • Advanced control technique and its application (I) - Soft measuring technique and its application
    • RONG Gang, JIN Xiao-ming, WANG Shu-qing. Advanced control technique and its application (I) - Soft measuring technique and its application[J]. Control and Instruments in Chemical Industry, 1999, 26(4): 70-72.
    • (1999) Control and Instruments in Chemical Industry , vol.26 , Issue.4 , pp. 70-72
    • Rong, G.1    Jin, X.-M.2    Wang, S.-Q.3
  • 3
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mapping by neural networks
    • Funahashi K J. On the approximate realization of continuous mapping by neural networks[J]. Neural Networks, 1989, (2): 183-192.
    • (1989) Neural Networks , Issue.2 , pp. 183-192
    • Funahashi, K.J.1
  • 4
    • 71149114613 scopus 로고    scopus 로고
    • Nonlinear system modeling using the radial basis function neural networks
    • WANG Xu-dong, SHAO Hui-he. Nonlinear system modeling using the radial basis function neural networks[J]. Control Theory and Applications, 1997, 14(1): 59-66.
    • (1997) Control Theory and Applications , vol.14 , Issue.1 , pp. 59-66
    • Wang, X.-D.1    Shao, H.-H.2
  • 5
    • 2942690723 scopus 로고    scopus 로고
    • The MIMO soft sensor based on RBFN for production qualities' estimation of hydrogenation cracking fractionation tower
    • ZHONG Wei, YU Jin-shou. The mimo soft sensor based on RBFN for production qualities' estimation of hydrogenation cracking fractionation tower[J]. Automation in Petro-Chemical Industry, 1999, (5): 19-21.
    • (1999) Automation in Petro-Chemical Industry , Issue.5 , pp. 19-21
    • Zhong, W.1    Yu, J.-S.2
  • 8
    • 0002343859 scopus 로고    scopus 로고
    • Introduction to statistical learning theory and support vector machines
    • ZHANG Xue-gong. Introduction to statistical learning theory and support vector machines[J]. Acta Automatica Sinica, 2000, 26(1): 32-42.
    • (2000) Acta Automatica Sinica , vol.26 , Issue.1 , pp. 32-42
    • Zhang, X.-G.1
  • 9
    • 2942651709 scopus 로고    scopus 로고
    • The general soft sensor based on neural networks
    • WANG Xu-dong, SHAO Hui-he. The general soft sensor based on neural networks[J]. Acta Automatica Sinica, 1998, 24(5): 702-706.
    • (1998) Acta Automatica Sinica , vol.24 , Issue.5 , pp. 702-706
    • Wang, X.-D.1    Shao, H.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.