%0 Journal Article
	%A Mohsen Hayati and  Zahra Mohebi
	%D 2007
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 4, 2007
	%T Application of Artificial Neural Networks for Temperature Forecasting 
	%U https://publications.waset.org/pdf/8486
	%V 4
	%X In this paper, the application of neural networks to study the design of short-term temperature forecasting (STTF) Systems for Kermanshah city, west of Iran was explored. One important architecture of neural networks named Multi-Layer Perceptron (MLP) to model STTF systems is used. Our study based on MLP was trained and tested using ten years (1996-2006) meteorological data. The results show that MLP network has the minimum forecasting error and can be considered as a good method to model the STTF systems. 
	%P 662 - 666