Abstract
With the development of thermal power industry, statistics on the NOx emissions become important. In this paper, based on the traditional support vector machine model, we establish support vector machine model optimized by chaos optimization algorithm, improve the prediction accuracy of SVM model. Use the NOx emissions data from 1995 to 2009, predict the NOx emissions from thermal power plant in the year of 2010, and verify the reasonableness of the COSVM model.
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Wang, J., Kang, J., Liang, H. (2011). Prediction of the NOx Emissions from Thermal Power Plant Based on Support Vector Machine Optimized by Chaos Optimization Algorithm. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18134-4_30
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DOI: https://doi.org/10.1007/978-3-642-18134-4_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18133-7
Online ISBN: 978-3-642-18134-4
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