深層学習によるモータの特性推定手法の開発とトポロジー最適化の高速化

抄録

　This paper describes a motor characteristic prediction method using deep learning and accelerating topology optimization. Convolutional neural networks, one of the deep learning methods, have been shown to be able to accurately predict motor characteristics for shapes that are handled by topology optimization. In addition, the applicability of explainable deep learning to the design of motors is discussed.