@article{(Open Science Index):https://publications.waset.org/pdf/7591,
	  title     = {Development of NOx Emission Model for a Tangentially Fired Acid Incinerator},
	  author    = {Elangeshwaran Pathmanathan and  Rosdiazli Ibrahim and  Vijanth Sagayan Asirvadam},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper aims to develop a NOx emission model of
an acid gas incinerator using Nelder-Mead least squares support
vector regression (LS-SVR). Malaysia DOE is actively imposing the
Clean Air Regulation to mandate the installation of analytical
instrumentation known as Continuous Emission Monitoring System
(CEMS) to report emission level online to DOE . As a hardware
based analyzer, CEMS is expensive, maintenance intensive and often
unreliable. Therefore, software predictive technique is often
preferred and considered as a feasible alternative to replace the
CEMS for regulatory compliance. The LS-SVR model is built based
on the emissions from an acid gas incinerator that operates in a LNG
Complex. Simulated Annealing (SA) is first used to determine the
initial hyperparameters which are then further optimized based on the
performance of the model using Nelder-Mead simplex algorithm.
The LS-SVR model is shown to outperform a benchmark model
based on backpropagation neural networks (BPNN) in both training
and testing data.},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {5},
	  number    = {10},
	  year      = {2011},
	  pages     = {621 - 626},
	  ee        = {https://publications.waset.org/pdf/7591},
	  url   	= {https://publications.waset.org/vol/58},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 58, 2011},
	}