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M. Sebastia,I. F. dez Olmo, and Angel Irabien, “Neural network prediction of unconfined compressive strength of coal fly ash cement mixtures [J],” Cement and Concrete Research, Vol. 33, No. 8, pp. 137–145, 2003.

has been cited by the following article:

• TITLE: Modeling of the Unburned Carbon in Fly Ash

  AUTHORS: Weiping YAN, Jun LI

  KEYWORDS: numerical simulation, unburned carbon content, support vector machine

  JOURNAL NAME: Energy and Power Engineering, Vol.1 No.2, December 1, 2009

  ABSTRACT: Numerical simulation of the content of unburned carbon in fly ash on the 300MW tangentially pulverized coal fired boiler is performed by the numerical simulation software COALFIRE, which is based on international advanced TASCFLOW software platform. Firstly, take the result of calculation of number value as the sample, and then set up the support vector machine model of unburned carbon content on the boiler. The relative error between the predicted output and measured value is 0.00186%, which proves the modeling is good for the unburned carbon in fly ash predict.