摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可以获得。根据NewsRx Edit ORS在秘鲁安达瓦利亚斯的新闻报道，研究人员称：“本研究建立了一个机器学习(ML)模型，利用期望最大化方法预测冷喷涂过程中的最大残余应力，该模型包括拉伸和压缩两种状态。ML算法的主要特点在于它的两步迭代过程，其中期望（E步）细化潜在变量估计，最大化（M步）优化模型的参数，使其与数据保持一致。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting out of Andahuaylas, Peru, by NewsRx edit ors, research stated, “This study establishes a machine learning (ML) model util izing the expectation-maximization approach to predict maximum residual stresses , encompassing both tensile and compressive states, in the cold spraying process across various substrates. The main feature of the ML algorithm lies in its two -step iterative process, where the Expectation (E step) refines latent variable estimates, and the Maximization (M step) optimizes the model’s parameters, align ing them with the data.”
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