Japan Society for the Promotion of Science:Grants-in-Aid for Scientific Research Challenging Research (Exploratory)
Date (from‐to) : 2018/06 -2020/03
Author : Ohsaki Makoto
A machine learning method has been developed for extracting the features related to decent mechanical performances of steel building frames. Using the proposed metod, meta-level knowledges are obtained for locations and cross-sectional properties of members, and decent designs are found with small computational cost. Furthermore, the sequential process of design update is modeled as a Markov decision process and an agent is trained using reinforment learning. As a result, an agent is developed to find designs that satisfies various design requirements. It has also been shown that the optimization method often used machine learning has better performancs for a certain type of optimum design problem than the conventional methods.