Designing of Neural Networks for Financial Market Forecasting

Abstract

The paper discusses methods for forecasting financial markets. Their advantages and disadvantages are presented. A genetic approach for the formation of the structure and training of the neural network is proposed. The method of forming a neural network based on a genetic algorithm is given.The effectiveness of the proposed methodology is presented as a result of the task of forecasting the stock market.