机译:用人工神经网络方法预测聚合物复合材料的有效导热系数
Thermal Physics Laboratory, Department of Physics, University of Rajasthan, Jaipur 302 055, India;
Thermal Physics Laboratory, Department of Physics, University of Rajasthan, Jaipur 302 055, India;
Thermal Physics Laboratory, Department of Physics, University of Rajasthan, Jaipur 302 055, India;
Department of Electronics & Communication, Global Institute of Technology, Jaipur 302 022, India;
National Institute of Science Communication and Information Resources, CSIR, New Delhi 110012, India;
Thermal Physics Laboratory, Department of Physics, University of Rajasthan, Jaipur 302 055, India;
polymer-matrix composites; artificial neural network; effective thermal conductivity;
机译:材料成分组成变化的轻质砖加气加气混凝土有效导热系数的人工神经网络预测
机译:用人工神经网络方法预测潮湿多孔材料的有效导热系数
机译:人工神经网络预测聚合物和碳纳米管复合材料的电导率
机译:通过观察聚合物复合材料立体填充分散体的立体填充分散性界面热阻的定量和热导率的预测
机译:关于碳纳米管增强聚合物复合材料的有效导热性。
机译:人工神经网络和捕食者算法预测聚乙烯吡咯烷酮(PVP)电纺纳米复合纤维的导热系数
机译:用人工神经网络和捕食 - 捕食者算法预测聚乙烯吡咯烷酮(pVp)电纺纳米复合纤维的导热系数。