Research on upstream design support using machine learning (Extraction of pleasant factors from engine and electric motorcycle driving data)
The purpose of this study is to investigate a machine learning method to support upstream of design process by taking a motorcycle design targeting riding comfort as an example. In our previous report, a machine learning decision tree model was trained using temporal factors with the riders’ subject...
Main Authors: | Beomgyu CHOI, Tamotsu MURAKAMI |
---|---|
Format: | Article |
Language: | Japanese |
Published: |
The Japan Society of Mechanical Engineers
2022-05-01
|
Series: | Nihon Kikai Gakkai ronbunshu |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/transjsme/88/910/88_21-00230/_pdf/-char/en |
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