Multi-layer artificial neural network in predicting the capacity of the pharmaceutical market
Z. M. Mnushko, Yu. V. Popova, I. V. Timanyuk


        The article describes the stages of creation, the principles of operation and architecture of the developed multilayer artificial neural network, adapted to its use to predict the capacity of the pharmaceutical market by the example of antigelmint drugs. The results of forecasting the supply of antigelmint drugs, which showed high accuracy, and this is the basis for the practical use of neural network like forecasting method in pharmacy.
Keywords: forecasting, capacity of the pharmaceutical market, antigelmint drugs, multi-layer artificial neural networks.