Figure 10 shows the bar charts comparing the aggregate validation error measures of the Box-Jenkins method and the
artificial neural networks. The artificial neural networks produced better predictive accuracies because they are nonlinear
mapping systems. The artificial neural networks use the time series data to develop an internal representation of the
relationship between the variables, and do not make assumptions about the nature of the distribution of the data