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机译:基于深度学习方法的导热换热拓扑优化研究
Xi An Jiao Tong Univ, Key Lab, Educ Minist Modern Design & Rotor Bearing Syst, Xian 710049, Shaanxi, Peoples R China;
Xi An Jiao Tong Univ, Key Lab, Educ Minist Modern Design & Rotor Bearing Syst, Xian 710049, Shaanxi, Peoples R China;
Xi An Jiao Tong Univ, Key Lab, Educ Minist Modern Design & Rotor Bearing Syst, Xian 710049, Shaanxi, Peoples R China;
Xi An Jiao Tong Univ, Key Lab, Educ Minist Modern Design & Rotor Bearing Syst, Xian 710049, Shaanxi, Peoples R China;
Xi An Jiao Tong Univ, Key Lab, Educ Minist Modern Design & Rotor Bearing Syst, Xian 710049, Shaanxi, Peoples R China;
Conductive heat transfer; Deep learning; Topology optimization; SIMP;
机译:通过监督深度学习直接和即时地预测传导传热拓扑的方法
机译:导电传热装置的拓扑优化:实验研究
机译:通过深度学习转移学习:在电动机拓扑优化中的应用
机译:考虑对流传热的基于可靠性的热力系统拓扑优化
机译:基于地震弹性的设计与优化:深入学习和网络体力方法
机译:基于深度转移学习的加热炉温度预测
机译:传热与对流换热的一些形状和拓扑优化问题