摘要
应用改进的BP网络训练方法建立脉冲电晕法烟气脱硫过程稳态模型。介绍网络结构和训练过程,给出建模结果,并与正交回归稳态模型进行比较,结果表明该模型具有很高精度和应用价值。最后对脉冲电晕法脱硫优化控制进行讨论,提出解决方案。
This paper applies the improved BP-network training in establishing steady-state model of the six elements in the industrial procedure of removal of SO_2 from flue gas by PPCP.It introduces the network architecture and training process,and gives the conclusion,compared with the orthogonal regressive steady-state model.The conclusion shows this model has high precision,and the value in application.It discusses optimizing control of the removal of SO_2 by PPCP,and puts forward the solution.
出处
《化工自动化及仪表》
CAS
北大核心
2003年第5期15-18,共4页
Control and Instruments in Chemical Industry
基金
国家"863"计划项目(2001AA642010)
