Abstract
All vehicle in this country need to go through the registration process before can
be drive on road. Generally, vehicle registration process was handled by Road
Transportation Department in every state. Number of transportation that increased in
every state nowadays have caused many problems especially to Road Transportation
Department Thus, to overcome these problems, the forecasting project has been
conducted to analyze and forecast the number of vehicles registration in Malaysia. This
forecasting was based on chosen vehicles which are motorcycles, motor cars, goods
transportations and one model for all types of vehicles. As for the development of
forecasting model, Neural Network with Back-Propagation algorithm has been used with
Matlab version 7.0 software. Data involved in this forecasting were the number of
vehicles registration produced in Malaysia from t996 to 2005. In conclusion, this study
will assist Road Transportation Department in solving their problems.
Website : http://ir.fsksm.utm.my/912/
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