抄録
Research on processes and materials using machine learning has been attracting attention. Machine learning is a methodology for finding correlations among the vast amount of empirically accumulated measurement data, and it is expected to be used in the field of membrane engineering. Machine learning is completely different from the analysis approaches that have been used in the membrane engineering field. Therefore, if properly applied, it is expected to make it possible to model target systems that could not be analyzed in the past. In this paper, we will review the past researches of this new analysis method, machine learning, applied in the field of membrane engineering.
