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Volume :6 Issue : 1 1999
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Neural Networks: Predicting Kuwaiti KD Currency Exchange Rates Versus us Dollar
Auther : Jafar M. Haji
Mohammad A. Almahmeed
There are many known models for predicting currency exchange rates, linear and non linear regression models and time series models specially Box and Jenkins model i.e. Autorgressive Moving Average models. Neural Networks techniques a new approach that have been used in many applications especially in pattern recognition problems. Time series is considered as pattern relation between two or more variables. Therefore, this research will use neural networks to study the relationship that effects Kuwaiti KD exchange rate versus US dollar for the purpose of using it in the future prediction of the currency exchange rate. Finally, we compared the neural network Model with the Box Jenkins Autoregressive and Moving Average Model.