Fundamental Investigation on a Aplication of Machine Learning Techniques for Estimation of Earthquake Damage to Buried Pipeline

Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Fundamental Investigation on a Aplication of Machine Learning Techniques for Estimation of Earthquake Damage to Buried Pipeline

Authors=Nobuoto Nojima, Katsushige Onishi

Journal/Book_names=Report of Bases Research Committee on Local Earthquake Disaster Mitigation, Proceedings of the Tono Research Institute of Earthquake Science

number=43

pages=23-31

Publish_year=2019

Publisher=Tono Research Institute of Earthquake Science, Association for the Development of Earthquake Prediction

Language_of_Text=JA

Language_of_Abs=JA

ID=300002275

@id=https://gbank.gsj.jp/ld/resource/geolis/300002275