International Journal of Intelligent Systems and Applications · 2012 · 24 citations · 7 references
BusinessComputer ScienceFinanceArtificial IntelligenceForecastingMachine LearningFinancial ForecastingFinancial Time Series AnalysisStock MarketsTime Series ForecastingTime Series ModelingTime Series PredictionFinancial Time Series ForecastingMachine Learning-based ForecastingMarket Forecasting SystemsNeural ForecastingNeural Network ModelingNeural Network PredictionNeural Time Series ForecastingPrediction Models
Prediction of Nigerian stock market is almost not done by any researcher and is an important factor which can be used to determine the viability of Nigerian stock market. In this paper, the prediction models were developed using Artificial Neural Net work. The result of the pred iction of Nigerian Stock Exchange (NSE) market index value of selected banks using Artificial Neural Network was presented. The multilayer feed forward neural network was used, so that each output unit is told what its desired response to input signals ought to be. This work has confirmed the fact that artificial neural network can be used to predict future stock prices. The data collection period is fro m 2003 to 2006.
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