Application of Financial Prediction for Share Price Improvement in the Business Sector by means of Artificial Neural Network

Advincula R.R.P.; Chavesta C.G.; Cunvarahi L.O. · International Journal of Engineering Trends and Technology (2023) · DOI: 10.14445/22315381/ijett-v71i3p211

Resumen

The use of artificial neural networks has an important role; nowadays, they represent an advantage for solving complex problems with different constraints in comparison with traditional methods. The research presents the theory and model; addresses the analysis of corporate financial statements, using the research tool to apply financial forecasting to improve the corporate stock price. The objective is to determine the results of the application of financial prediction for the improvement of stock prices in the corporate sector by means of artificial neural networks. Also, to build different models to evaluate the behavior of networks in different numbers of input variables or neurons in the hidden layer and the probabilities of success by means of the prediction results in the input variables. The predictive capacity in the methods used is based on perceptron-type layers and a strategy that allows alternative system modelling in the predictive control of financial statements.

Instituciones: Universidad de Ciencias y Humanidades