@article{(Open Science Index):https://publications.waset.org/pdf/518,
	  title     = {Investigation of Artificial Neural Networks Performance to Predict Net Heating Value of Crude Oil by Its Properties},
	  author    = {Mousavian and  M. Moghimi Mofrad and  M. H. Vakili and  D. Ashouri and  R. Alizadeh},
	  country	= {},
	  institution	= {},
	  abstract     = {The aim of this research is to use artificial neural networks computing technology for estimating the net heating value (NHV) of crude oil by its Properties. The approach is based on training the neural network simulator uses back-propagation as the learning algorithm for a predefined range of analytically generated well test response. The network with 8 neurons in one hidden layer was selected and prediction of this network has been good agreement with experimental data.
	    journal   = {International Journal of Chemical and Molecular Engineering},
	  volume    = {6},
	  number    = {12},
	  year      = {2012},
	  pages     = {1180 - 1184},
	  ee        = {https://publications.waset.org/pdf/518},
	  url   	= {https://publications.waset.org/vol/72},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 72, 2012},