Research on unburned combustible forecast in fly ash of the coal-fired boiler based on Genetic Algorithm and Artificial Neural Network

摘要：

The boiler fuel burning is the main basis to evaluate the energy saving. This paper combined the genetic algorithm and artificial neural network to model the burning process of the boiler fuel, in order to forecast the unburned combustible in flue dust of the coal-fired boiler. Use the powerful optimizing of CA to narrow the search range, then use ANN to optimize accurately. It can prevent the BP from sinking into local minimum, low convergence rate oscillation effect and other disadvantages. And then, more accurate output data of the black box can be obtained.

关键词： neural network genetic algorithm black box

作者: MENG Zhao-xin ZHANG Chao-mei LEI Xiao-gang SUN Ying-fei

作者单位: College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin,P.RXhina,15004 Forestry Technological College,Gansu,P.R.China,741020 Chery Automobile Co,Ltd,Wuhu,P.R.China,241009

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1149-1152

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）