@article{(Open Science Index):https://publications.waset.org/pdf/16545,
	  title     = {The Using Artificial Neural Network to Estimate of Chemical Oxygen Demand},
	  author    = {S. Areerachakul},
	  country	= {},
	  institution	= {},
	  abstract     = {Nowadays, the increase of human population every
year results in increasing of water usage and demand. Saen Saep
canal is important canal in Bangkok. The main objective of this study
is using Artificial Neural Network (ANN) model to estimate the
Chemical Oxygen Demand (COD) on data from 11 sampling sites.
The data is obtained from the Department of Drainage and Sewerage,
Bangkok Metropolitan Administration, during 2007-2011. The
twelve parameters of water quality are used as the input of the
models. These water quality indices affect the COD. The
experimental results indicate that the ANN model provides a high
correlation coefficient (R=0.89).
},
	    journal   = {International Journal of Chemical and Molecular Engineering},
	  volume    = {7},
	  number    = {7},
	  year      = {2013},
	  pages     = {578 - 581},
	  ee        = {https://publications.waset.org/pdf/16545},
	  url   	= {https://publications.waset.org/vol/79},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 79, 2013},
	}