首页|New Machine Learning Findings from Nanjing University Discussed (Evaluation of Methods for the Detection of Hazardous Substances In Food Based On Machine Learning)
New Machine Learning Findings from Nanjing University Discussed (Evaluation of Methods for the Detection of Hazardous Substances In Food Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofNanjing, People’s Republic of China, by NewsRx editors, research stated, “With new detection methodsfor hazards in food being created, it is essential to build an evaluation model of these methods in order toimprove the level and efficiency of food safety related detection. Back propagation neural network (BPNN),classification and regression tree (CART), support vector regression (SVR) and random forest regression(RFR) are the supervised machine learning methods used to build the model.”
NanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanjing University
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