首页|Recent Findings from Northwestern Polytechnic University Pro- vides New Insights into Machine Learning (Enhancing Performance of Multi-pressure Evaporation Organic Rankine Cycle/supercritical Carbon Dioxide Brayton Cycle Through Genetic Algorithm ...)
Recent Findings from Northwestern Polytechnic University Pro- vides New Insights into Machine Learning (Enhancing Performance of Multi-pressure Evaporation Organic Rankine Cycle/supercritical Carbon Dioxide Brayton Cycle Through Genetic Algorithm ...)
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Elsevier
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “The Supercritical Carbon Dioxide Brayton combined cycle is one of the most important ways to enhance the performance of the cycle. Since the considerable exergy loss resulting from large temperature differences in the heat exchangers of combined cycles, the multi-pressure evaporation concept was adopted from Organic Rankine cycle research.” Financial supporters for this research include Shenzhen Science and Technology Program, National Natural Science Foundation of China (NSFC), Major Program of the Natural Science Foundation of Shan- dong Province, Ministry of Education, China - 111 Project, Northwestern Polytechnical University Doctoral Dissertation Innovation Fund Project, China Scholarship Council, Center for Catalysis and Separation.
Xi’anPeople’s Republic of ChinaAsiaAlgorithmsAnionsCarbon DioxideChemicalsCyborgsEmerging TechnologiesGenetic AlgorithmsGeneticsInorganic Carbon CompoundsMachine LearningOxidesNorthwestern Polytechnic University
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Elsevier
