首页|Shaoyang University Reports Findings in Artificial Intelligence (Optimization of drug solubility inside the supercritical CO2 system via numerical simulation ba sed on artificial intelligence approach)
Shaoyang University Reports Findings in Artificial Intelligence (Optimization of drug solubility inside the supercritical CO2 system via numerical simulation ba sed on artificial intelligence approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting originating in Hunan, People’s Re public of China, by NewsRx journalists, research stated, “In this research paper , we explored the predictive capabilities of three different models of Polynomia l Regression (PR), Extreme Gradient Boosting (XGB), and LASSO to estimate the de nsity of supercritical carbon dioxide (SC-CO) and the solubility of niflumic aci d as functions of the input variables of temperature and pressure. The optimizat ion of hyperparameters for these models is achieved using the innovative Barnacl es Mating Optimizer (BMO) algorithm.”
HunanPeople’s Republic of ChinaAsiaArtificial IntelligenceDrugs and TherapiesEmerging TechnologiesMachine Le arningMathematicsNumerical Modeling
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