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机译:MLP-ANN训练算法对土壤孔隙水压力对降雨响应建模的评估
Ph.D. Student, Dept. of Civil Engineering, Universiti Teknologi Petronas, Bandar Serf Iskandar, 31750 Tronoh, Perak Darul Ridzuan,Malaysia;
Water Resources Engineer, Golder Associates, Ltd., 102, 2535-3rd Ave. S.E., Calgary T2A 7W5, AB, Canada;
Associate Professor, Dept. of Civil Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan,Malaysia;
Professor, School of Civil & Environmental Engineering, Nanyang Technological Univ., Blk Nl, No. 1B-36, Nanyang Ave., Singapore 639798;
Associate Professor, Dept. of Civil Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan,Malaysia;
artificial neural network (ANN); training algorithms; evaluation; pore-water pressure; prediction; modeling.;
机译:M. R. Mustafa,R。B. Rezaur,S。Saiedi,H。Rahardjo和M. H. Isa对“模拟土壤孔隙水压力对降雨的MLP-ANN训练算法的评估”的结语
机译:M. R. Mustafa,R。B. Rezaur,S。Saiedi,H。Rahardjo和M. H. Isa讨论了“用于建模土壤孔隙水压力对降雨的MLP-ANN训练算法的评估”
机译:考虑暗示强度和孔隙水压力的简化土构模型的评价近一维(1D)地震局部响应
机译:低度多项式核心核心型孔隙压力响应的核心核心核心的评价
机译:压实黏土中孔隙水压力的研究
机译:使用随机期望最大化(EM)训练和Viterbi训练来训练隐马尔可夫模型参数的高效算法
机译:火山土坡孔隙压力响应变化降雨渗透
机译:潮汐对拟建肖勒姆旁路上的地基孔隙水压力的影响