首页|Studies from China University of Petroleum in the Area of Machine Learning Repor ted (Explainable Machine-learning Predictions for Catalysts In Co2-assisted Prop ane Oxidative Dehydrogenation)
Studies from China University of Petroleum in the Area of Machine Learning Repor ted (Explainable Machine-learning Predictions for Catalysts In Co2-assisted Prop ane Oxidative Dehydrogenation)
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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 originating from Beijing,People's Republic of China,by NewsRx correspondents,research stated,"Propylene is an important ra w material in the chemical industry that needs new routes for its production to meet the demand. The CO2-assisted oxidative dehydrogenation of propane (CO2-ODHP ) represents an ideal way to produce propylene and uses the greenhouse gas CO2." Financial supporters for this research include State Key Laboratory of Heavy Oil Processing,SINOPEC Petroleum Exploration and Production Research Institute. Our news journalists obtained a quote from the research from the China Universit y of Petroleum,"The design of catalysts with high efficiency is crucial in CO2- ODHP research. Data-driven machine learning is currently of great interest and g aining popularity in the heterogeneous catalysis field for guiding catalyst deve lopment. In this study,the reaction results of CO2-ODHP reported in the literat ure are combined and analyzed with varied machine learning algorithms such as ar tificial neural network (ANN),k-nearest neighbors (KNN),support vector regress ion (SVR) and random forest regression (RF)and were used to predict the propylen e space-time yield. Specifically,the RF method serves as a superior performing algorithm for propane conversion and propylene selectivity prediction,and SHapl ey Additive exPlanations (SHAP) based on the Shapley value performs fine model i nterpretation. Reaction conditions and chemical components show different impact s on catalytic performance."
BeijingPeople's Republic of ChinaAsi aAlkanesCyborgsEmerging TechnologiesMachine LearningPropaneChina Uni versity of Petroleum
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