首页|Investigators at Chinese Academy of Sciences Describe Findings in Machine Learni ng (Machine Learning Optimization for Catalytic Desulfurization of Petroleum: Mu lti-layered Perceptron, Multi Task Lasso, and Gaussian Process Regression Models)
Investigators at Chinese Academy of Sciences Describe Findings in Machine Learni ng (Machine Learning Optimization for Catalytic Desulfurization of Petroleum: Mu lti-layered Perceptron, Multi Task Lasso, and Gaussian Process Regression Models)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Hefei, People’s Repub lic of China, by NewsRx correspondents, research stated, “Machine learning model s were developed and optimized in this study to optimize the process of hydrodes ulfurization (HDS) for fuel production. A number of input parameters were consid ered and optimized to find the best response parameters.”
HefeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesGaussian ProcessesMachine LearningPerceptro nChinese Academy of Sciences
NETL
NSTL
