AN INTENSE NIGERIAN STOCK EXCHANGE MARKET PREDICTION USING LOGISTIC WITH BACK-PROPAGATION ANN MODEL

  • A.S. Magaji Department of Mathematical Sciences, Faculty of Science, Kaduna State University, Kaduna-Nigeria
  • K.R. Adeboye Department of Mathematics & Statistics, School of Natural & Applied Sciences, Federal University of Technology Minna-Nigeria

Abstract

This paper is a continuation of our research work on the Nigerian Stock Exchange  Market (NSEM) uncertainties, In our previous work (Magaji et al, 2013) we presented the Naive Bayes  and SVM-SMO algorithms as a tools for predicting the Nigerian Stock Exchange Market; subsequently we used the same  transformed data of the NSEM and explored the implementation of the Logistic function on Back-propagation algorithm on the WEKA platform, and results obtained, made us to also conclude that the Back-propagation model of Artificial Neural Network (ANN) performed very well and thus it is another algorithm that can effectively and efficiently be used for predicting the Nigerian Stock Exchange Market.

Published
2014-08-30
Section
ARTICLES