Artificial Neural Network Model for Stock Market Forecasting

Abstract

Abstract
In recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks or stock markets. Neural networks, as an intelligent data mining method, have been used in many different challenging pattern recognition problems such as stock market prediction. The aim of this paper is to predict stock market using artificial neural networks (ANNs). The authors used feed forward neural network trained by back-propagation algorithm to make prediction. The result from analysis shows that ANNs offer the ability to predict the stock prices more accurately than other existing techniques.

Keywords: Artificial neural network, back-propagation, forecasting, stock market