摘要
由一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据NewsRx Edi Tors在印度西孟加拉邦的新闻报道，研究表明：“用于特定应用的金属合金通常是通过设计基于经验、热力学和动力学原理的实验以及各种建模和模拟实验来达到预期性能的。然而，工艺参数和材料性能的影响往往是非线性和非线性的。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news reporting out of West Bengal, India, by NewsRx edi tors, research stated, “Metallic alloys for a given application are usually desi gned to achieve the desired properties by devising experiments based on experien ce, thermodynamic and kinetic principles, and various modeling and simulation ex ercises. However, the influence of process parameters and material properties is often non-linear and non -colligative.”
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