Open AccessMulti Layer Feed Forward Neural Network Knowledge Base to Future Stock Market Prediction
Author(s) -
G. Naveen Sundar,
K. Satyanarayana
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1218.09811s19
Subject(s) - artificial neural network , computer science , perceptron , stock market prediction , stock market , stock (firearms) , multilayer perceptron , stock price , machine learning , artificial intelligence , backpropagation , data mining , engineering , mechanical engineering , paleontology , horse , series (stratigraphy) , biology
Stock price prediction is always a most challenging task. Artificial Neural Network prediction clears the stock price prediction challenge by forming the training set. By using the past information as the network input, one can predict the expected output of the network. In order to predict the expected result as the accurate we add multi-layer perceptron to the knowledge set we formed from the past historical data available in the nifty NSE and Sensex BSE. This paper proves that proposing the learning knowledge set using multilayer neural network will predict the accurate closing price of future stock in stock market.