Abstract
Mathematical models for the homogeneous catalytic reaction between alcohols and dimethyl carbonate were developed using the least-squares method, a perceptron with one hidden layer, and the law of mass action. The structure of a trainable neural network is presented. The relative deviation error between the calculated and experimental values is minimum when the perceptron model with one hidden layer is used.
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