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机译:用人工神经网络方法模拟石混凝土的导热系数
Department of Civil Engineering, Faculty of Engineering,Bartin University, 74100 Bartin, Turkey;
Department of Civil Engineering, Faculty of Engineering and Architecture,Bozok University, Yozgat, Turkey;
Department of Civil Engineering, Faculty of Engineering and Architecture,Bozok University, Yozgat, Turkey;
Department of Civil Engineering, Faculty of Engineering, Bartin University,Bartin, Turkey;
Laboratory of Advanced Polymers and Optimized Materials (LAPOM),Department of Materials Science and Engineering and Center for Advanced Research and Technology (CART), University of North Texas,Denton Texas, USA;
Laboratory of Advanced Polymers and Optimized Materials (LAPOM),Department of Materials Science and Engineering and Center for Advanced Research and Technology (CART), University of North Texas,Denton Texas, USA;
artificial neural networks; concrete; thermal conductivity; vermiculite; numerical simulation;
机译:基于人工神经网络与火星的方法,使用方法与ZnO颗粒纳米流体的热导电性建模
机译:使用三种建模方法估计饱和浆料电导率:传统稀释提取物; 饱和百分比和人工神经网络
机译:Al2O3-乙二醇纳米流体粘度和导热系数的稳定性,热性能和人工神经网络建模
机译:烷烃,酮和硅烷液导热率的人工神经网络建模
机译:人工神经网络,非线性自回归网络(NARX)和因果环图方法,用于建模桥梁基础设施条件
机译:用人工神经网络模拟废旧橡胶对混凝土抗压强度的影响。
机译:不同热浓缩条件下CuO /甘油纳米流体电导率的测量和人工神经网络建模