부산대학교 도서관

In the current scenario, there is tremendous growth in the equity market of India. The equity (stock) market is a secondary market that facilitates stock traders to buy or sell company stocks. Many traders take benefit from this market and earn money by investing in short, medium, and long terms. The accurate analysis of stock value is very important and it is also very difficult to predict in advance. There are so many analytical tools available in the market to predict the value of a stock, but nowadays most efficient prediction analysis is given by machine learning tools. Here in this research paper, the artificial machine learning approach is applied to predict the Nifty value in the equity market. Different transfer functions have been used in inner hidden layers and their accuracy has been calculated. The model that is created here gives 98% accuracy. We have used the last 10 years' data in the research study and the data are collected from NSE India authorized website.