摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据中国人民代表大会上海消息报道，NewsRx记者报道，“提出了一个基于机器学习的合金快速设计系统(ARDS)，用于定制所需性能的制备策略或根据制备策略预测合金性能，为此，采用了三种回归算法：线性回归(LR)、支持向量回归(SVR)和BP神经网络(BPNN)。分别对多属性预测模型进行训练，证明了采用支持向量机建立的机器学习(ML)模型是最优的。本研究的资助单位包括国家重点研究与发展计划、国家自然科学基金(NSFC)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “A machine learning-b ased alloy rapid design system (ARDS) was proposed to customize the preparation strategies for the desired properties or predict the alloy properties following the preparation strategies. For achieving this, three regression algorithms: lin ear regression (LR), support vector regression (SVR), and back propagation neura l network (BPNN), were employed separately to train the multi-property predictio n model, in which the machine learning (ML) model built using SVR was proved to be the best.” Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC).
NETL
NSTL