@article{(Open Science Index):https://publications.waset.org/pdf/3200,
	  title     = {Prediction of Phenolic Compound Migration Process through Soil Media using Artificial Neural Network Approach},
	  author    = {Supriya Pal and  Kalyan Adhikari and  Somnath Mukherjee and  Sudipta Ghosh},
	  country	= {},
	  institution	= {},
	  abstract     = {This study presents the application of artificial
neural network for modeling the phenolic compound
migration through vertical soil column. A three layered feed
forward neural network with back propagation training
algorithm was developed using forty eight experimental data
sets obtained from laboratory fixed bed vertical column tests.
The input parameters used in the model were the influent
concentration of phenol(mg/L) on the top end of the soil
column, depth of the soil column (cm), elapsed time after
phenol injection (hr), percentage of clay (%), percentage of
silt (%) in soils. The output of the ANN was the effluent
phenol concentration (mg/L) from the bottom end of the soil
columns. The ANN predicted results were compared with the
experimental results of the laboratory tests and the accuracy of
the ANN model was evaluated.},
	    journal   = {International Journal of Geological and Environmental Engineering},
	  volume    = {5},
	  number    = {3},
	  year      = {2011},
	  pages     = {130 - 133},
	  ee        = {https://publications.waset.org/pdf/3200},
	  url   	= {https://publications.waset.org/vol/51},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 51, 2011},
	}