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Volumn 24, Issue 1, 2004, Pages 191-195

Study on RBF neural network based online algorithm models adaptive to thermal processes

Author keywords

Approximate correlation networks; Hierarchies compensatory networks; Modeling; Thermal process

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; HIERARCHICAL SYSTEMS;

EID: 2342429705     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (19)

References (9)
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    • A study on fuzzy rules based and nonlinear models for thermal processes
    • Lu Jianhong, Chen Jianqin, Liu Zhiyuan, et al. A study on fuzzy rules based and nonlinear models for thermal processes [J]. Proceedings of the CSEE, 2002, 22(11): 134-137.
    • (2002) Proceedings of the CSEE , vol.22 , Issue.11 , pp. 134-137
    • Lu, J.1    Chen, J.2    Liu, Z.3
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    • A dynamic method for designing RBF neural network
    • Wei Haicun, Ding Weiming, Song Wenzhong, et al. A dynamic method for designing RBF neural network [J]. Control Theory and Applications, 2002, 19(5): 673-680.
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    • Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks
    • Jag C Patra. Nonlinear dynamic system identification using chebyshev functional link artificial neural networks [J]. IEEE Trans SMC (B), 2002, 32(4): 505-511.
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  • 9
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    • Chen S, Orthogonal least square learning algorithm for RBF networks. [J]. BEEE Trans NN, 1991, 2: 302-309.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.