WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/9997008,
	  title     = {Modeling and Prediction of Zinc Extraction Efficiency  from Concentrate by Operating Condition and Using  Artificial Neural Networks },
	  author    = {S. Mousavian and  D. Ashouri and  F. Mousavian and  V. Nikkhah Rashidabad and  N. Ghazinia},
	  country	= {},
	  institution	= {},
	  abstract     = {PH, temperature and time of extraction of each stage, 
agitation speed and delay time between stages effect on efficiency of 
zinc extraction from concentrate. In this research, efficiency of zinc 
extraction was predicted as a function of mentioned variable by 
artificial neural networks (ANN). ANN with different layer was 
employed and the result show that the networks with 8 neurons in 
hidden layer has good agreement with experimental data.

 
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {1},
	  year      = {2014},
	  pages     = {1 - 4},
	  ee        = {https://publications.waset.org/pdf/9997008},
	  url   	= {https://publications.waset.org/vol/85},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 85, 2014},
	}