摘要
本文主要是通过采用软测量技术,采用建立易测量的水质核心参数和浓缩倍率两者间的BP神经网络模型,展开浓缩倍率的有效评估。
This paper mainly uses the technology of soft measurement to establish the BP neural network model which is easy to measure the core parameters of water quality and concentration ratio,and to carry out the effective evaluation of the concentration ratio.
引文
[1]王孝红,刘文光,于宏亮.工业过程软测量研究[J].济南大学学报:自然科学版,2016,23(1):80-86.
[2]李元培.火力发电厂水处理及水质控制[M].2版.北京:中国电力出版社,2017.