摘要
由一名新闻记者兼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已经可用。根据NewsRx编辑在印度巴特那的新闻报道，研究表明，“在本研究中，试图使用四种机器学习技术，例如结合微粒群优化(ANN-PSO)的人工神经网络、自适应神经模糊推理系统(AN FIS)、多元自适应回归样条(MARS)、M5Tree机器学习(ML)方法模拟冲刷深度。从以前发表的文献中收集了534个活床冲刷(L BS)实验和现场数据集，并进行了gamma检验以确定最佳输入参数组合。
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 Patna, India, by NewsRx editors, research stated, “In the present research, an attempt is made to use four machine learning technique techniques such as artificial neural network combined with particle swarm optimization (ANN-PSO), adaptive neuro-fuzzy inference system (AN FIS), multivariate adaptive regression splines (MARS), and M5Tree machine learning (ML) approaches to model the scour depth. A total of 534 live bed scouring (L BS) experimental and field datasets are collected for bridge pier scouring from the previously published literature, and a gamma test has been performed to identify the best input parameter combination.”
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