摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。根据来自印度浦那的新闻报道，由NewsRx记者撰写，研究称，“无铅铁电体”陶瓷由于其有趣的多重性，在能源领域尤为突出。在本研究中，有三种监督机器学习模型（随机森林、xg-boost和svr-rbf）并对无铅陶瓷的功能性能进行了预测和优化。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating in Pune, India, by NewsRx journalists, research stated, “Lead-free ferroelectricceramics are p articularly prominent in the energy sector because of their interesting multidom ain properties.In the present study, three supervised machine learning models ( random forest, XG-boost, and SVR-rbf)were implemented to predict and optimize t he functional properties of lead-free ceramics.”
NETL
NSTL