Abstract
Rice is one of the staple food for the Malaysian citizens. Despite of that, as we
know the number of people living in Malaysia is increasing at an alarming rate.
Therefore, this project is executed to forecast the rice's production, import and export to
ensure that the demand of the consumer will be fuIfilled. The data that is used for the
research started from 1996 to 2005. These data consists of 3 models. There are
Malaysia's rice production, beside import and export. The outcome from this research is
obtained from forecasting for the period of one whole year of 2006.In this project, the
forecasting method is neural networks while the training method known as the
backpropagation is implemented using the multilayer perceptron. Microsoft Excel XP in
windows environment and the MATLAB Software version 7.0.4 used as a platform for
forecasting analysis.
Website : http://ir.fsksm.utm.my/907/
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