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顯示 1 到 13 筆資料，總共 13 筆
公開日期標題作者
1-八月-2000Active pulse structural control using artificial neural networksHung, SL; Kao, CY; Lee, JC; 土木工程學系; Department of Civil Engineering
1-一月-2000Augmented IFN learning modelHung, SL; Jan, JC; 土木工程學系; Department of Civil Engineering
2005Damage detection of structures using unsupervised fuzzy neural networkWen, CM; Hung, SL; Huang, CS; Jan, JC; 土木工程學系; Department of Civil Engineering
1-十一月-2003Detection of structural damage via free vibration responses generated by approximating artificial neural networksKao, CY; Hung, SL; 土木工程學系; Department of Civil Engineering
1-五月-2001High-order MS_CMAC neural networkJan, JC; Hung, SL; 土木工程學系; Department of Civil Engineering
1997Machine learning in engineering design - An unsupervised fuzzy neural network case-based learning modelHung, SL; Jan, JC; 土木工程學系; Department of Civil Engineering
1-一月-1999MS_CMAC neural network learning model in structural engineeringHung, SL; Jan, JC; 土木工程學系; Department of Civil Engineering
1-二月-2003A neural network approach for structural identification and diagnosis of a building from seismic response dataHuang, CS; Hung, SL; Wen, CM; Tu, TT; 土木工程學系; Department of Civil Engineering
1-一月-2002Neural network forecast model in deep excavationJan, JC; Hung, SL; Chi, SY; Chern, JC; 土木工程學系; Department of Civil Engineering
1-九月-2003Nonparametric identification of a building structure from experimental data using wavelet neural networkHung, SL; Huang, CS; Wen, CM; Hsu, YC; 土木工程學系; Department of Civil Engineering
1-二月-2002Structural damage detection using the optimal weights of the approximating artificial neural networksHung, SL; Kao, CY; 土木工程學系; Department of Civil Engineering
1-四月-2001Unsupervised fuzzy neural network structural active pulse controllerHung, SL; Lai, CM; 土木工程學系; Department of Civil Engineering
1-十一月-2005A wavelet-based approach to identifying structural modal parameters from seismic response and free vibration dataHuang, CS; Hung, SL; Lin, CI; Su, WC; 土木工程學系; Department of Civil Engineering
顯示 1 到 13 筆資料，總共 13 筆