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-关于机器学习的最新研究结果已经发表。据新闻报道《中国人民日报》北京报道，NewsRx编辑，研究称，“马氏体形状记忆合金的相变温度（Ms）对其性能起着至关重要的作用。至实现了形状记忆合金中Ms的快速预测，本文研究了emp loys的机器学习技术，以使用最广泛的TY PE-基于NITI的SMA为例。
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 to newsreporting out of Beijing, People’s Re public of China, by NewsRx editors, research stated, “The martensitictransforma tion temperature (Ms) of shape memory alloys plays a crucial role in their perfo rmance. Toachieve rapid prediction of Ms in shape memory alloys, this study emp loys machine learning techniques,using NiTi-based SMAs, the most widely used ty pe, as an example.”
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