首页|Cairo University Reports Findings in Machine Learning (Correlating physico-chemi cal properties of analytes with Hansen solubility parameters of solvents using m achine learning algorithm for predicting suitable extraction solvent)
Cairo University Reports Findings in Machine Learning (Correlating physico-chemi cal properties of analytes with Hansen solubility parameters of solvents using m achine learning algorithm for predicting suitable extraction solvent)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news originating fromCairo, Egypt, by NewsRx correspon dents, research stated, “Artificial neural networks (ANNs) are biologicallyinsp ired algorithms designed to simulate the way in which the human brain processes information.In sample preparation for bioanalysis, liquid-liquid extraction (LL E) represents an important step with theextraction solvent selection is the key laborious step.”
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