首页|Recent Research from Harbin University Highlight Findings in Machine Learning (R esearch On Specific Capacitance Prediction of Biomass Carbon-based Supercapacito rs Based On Machine Learning)
Recent Research from Harbin University Highlight Findings in Machine Learning (R esearch On Specific Capacitance Prediction of Biomass Carbon-based Supercapacito rs Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Harbin, People’s Republic of China, by NewsRx journalists, research stated, “With the development of computer t echnology, a variety of machine learning models have been used to predict the el ectrochemical performance of energy storage devices. In this study, the elementa l analysis, industrial analysis and structural composition, activation condition s, and current density of biomass are innovatively selected as input conditions from the biomass raw material characteristics perspective and predict specific capacitance based on the light gradient boosting machine (LightGBM) and deep neural network (DNN) algorithm.”
HarbinPeople’s Republic of ChinaAsiaChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningHarbin University
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