摘要
针对锅炉飞灰含碳量影响因素复杂,实时测量难度大,精度低,提出了一种基于遗传神经网络的预测方法,并用于某电厂,结果表明,该方法是有效的。
In order to solve the real-time calculation of the unbumed carbon of the fly ash from utility boilers and low accuracy, a new method is developed based on Genetic-Neural network in this paper. The result of typical calculation examples in one of the utility boilers showed that the present method was effective.
出处
《仪器仪表用户》
2005年第5期69-70,共2页
Instrumentation
关键词
锅炉
飞灰含碳量
遗传算法
神经网络
Utility boiler, Unburned carbon content, GA, Neural Network
