首页|NASA Ames Research Center Reports Findings in Machine Learning (Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach)
NASA Ames Research Center Reports Findings in Machine Learning (Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Moffett Field, California, by NewsRx journalists, research stated, “We develop acomputational framework combining thermodynamic and machine learning models to predict the meltingtemperatures of molten salt eutectic mixtures (). The model shows an accuracy of 6% (mean absolutepercentage error) over the entire data set.”
Moffett FieldCaliforniaUnited StatesNorth and Central AmericaBusinessCyborgsEmerging TechnologiesKBR Inc.Machine Learning
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