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Volume :11 Issue : 3 2004      Add To Cart                                                                    Download

Comparison between Using Neural Networks Technique and SARIMA to Predict Number of Mortalities Resulted from Traffic Accidents in Kuwait

Auther : Abdel Hamid M. Ibrahim Alabbasi

The aim of the current study is to conduct a comparison between using Neural Networks technique and SARIMA in order to predict number of mortalities resulted from car accidents in Kuwait per month. Although SARIMA system is considered one of the common statistical systems used in predicting the value of phenomena in future according to correlation between it’s value now and in the previous years depending on linear relation therefore, the application of this style might be restricted. On the other hand, the application of Neural Networks technique does not require linear relation (depends on both linear & non-linear) therefore it’s more convenient in these situations. However, artificial Neural Networks proved to be more precise and effective in predicting more than SARIMA system, Neural Networks achieved high level of precision therefore it’s more preferable in prediction than SARIMA.

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