@article{(Open Science Index):https://publications.waset.org/pdf/8486, title = {Application of Artificial Neural Networks for Temperature Forecasting }, author = {Mohsen Hayati and Zahra Mohebi}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Electrical and Computer Engineering}, volume = {1}, number = {4}, year = {2007}, pages = {662 - 666}, ee = {https://publications.waset.org/pdf/8486}, url = {https://publications.waset.org/vol/4}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 4, 2007}, }