Notice of Retraction The prediction of pulverized coal ignition property based on piecewise least squares support vector machine
作者： Aiying Chang , Tiejun Wu , Bao Xin
DOI: 10.1109/ICCSIT.2010.5563669
关键词:
摘要: Aimed at the quantitative analysis of pulverized coal ignition temperature, this paper presents a piecewise least squares support vector machine modeling method, where several sub-models are created according to burning characteristics lignite, bituminous coal, lean and anthracite etc. parameters each sub-model optimized independently. By implementing LSSVM global on fuel samples obtained from certain company, we find that behaves better than mean-square error correlation coefficient,
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