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Home  >  Volume 38

33. Multi-Step Ahead Prediction of Crude Oil Price in Nigeria Using Dynamic Neural Networks by S. Suleiman and James Tolulope O. Volume 38, (November, 2016), pp 241 – 248
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Abstract

Crude oil is considered to be an important export commodity in Nigeria because of its contribution to the economy of the country. Over the last two years, global oil prices have been dropping and bearing in mind that Nigeria is an import dependent economy, this development is worrisome. This paper explores the application of artificial neural network in forecasting Crude oil price in Nigeria.In this research, Non linear Autoregressive (NAR) Neural Network trained usingBackpropagation gradient descent training algorithms was employed.The results show that the Bayesian regularization gives better results and achieved the minimum error but with largest number of iterations.

Keywords: Dynamic Neural Network, Backpropagation, Forecasting.

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