@article{(Open Science Index):https://publications.waset.org/pdf/11329,
	  title     = {Daily Global Solar Radiation Modeling Using Multi-Layer Perceptron (MLP) Neural Networks},
	  author    = {Seyed Fazel Ziaei Asl and  Ali Karami and  Gholamreza Ashari and  Azam Behrang and  Arezoo Assareh and  N.Hedayat},
	  country	= {},
	  institution	= {},
	  abstract     = {Predict daily global solar radiation (GSR) based on meteorological variables, using Multi-layer perceptron (MLP) neural networks is the main objective of this study. Daily mean air temperature, relative humidity, sunshine hours, evaporation, wind speed, and soil temperature values between 2002 and 2006 for Dezful city in Iran (32° 16' N, 48° 25' E), are used in this study. The measured data between 2002 and 2005 are used to train the neural networks while the data for 214 days from 2006 are used as testing data.
},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {5},
	  number    = {7},
	  year      = {2011},
	  pages     = {403 - 405},
	  ee        = {https://publications.waset.org/pdf/11329},
	  url   	= {https://publications.waset.org/vol/55},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 55, 2011},
	}