Prediction of the Yield of Enzymatic Synthesis of Betulinic Acid Ester Using Artificial Neural Networks and Support Vector Machine
نویسندگان
چکیده
3β-O-phthalic ester of betulinic acid is of great importance in anticancer studies. However, the optimization of its reaction conditions requires a large number of experimental works. To simplify the number of times of optimization in experimental works, here, we use artificial neural network (ANN) and support vector machine (SVM) models for the prediction of yields of 3β-O-phthalic ester of betulinic acid synthesized
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عنوان ژورنال:
- CoRR
دوره abs/1511.03984 شماره
صفحات -
تاریخ انتشار 2015