首页 /研究 /Automated odor-blending with one-pot Bayesian optimization
OTHER

Automated odor-blending with one-pot Bayesian optimization

Yota Fukui, Kosuke Minami, Kota Shiba, Genki Yoshikawa, Koji Tsuda, Ryo Tamura

发表年份
2024
引用次数
4
访问权限
开放获取

摘要

To enable robots to perform the creation of new odors by blending existing ones automatically, we developed an automated odor-blending system using membrane-type surface stress sensors and machine learning.

关键词

OdorArtificial intelligenceBayesian probabilityComputer scienceRobotBayesian optimizationMachine learningChemistry

相关论文

查看 OTHER 分类全部论文