轻工学报2018，Vol.33Issue(6)：92-100,108,10.DOI:10.3969/j.issn.2096-1553.2018.06.011
基于HCPS多层感知器的污水处理后氨氮浓度测量
Measurement of ammonia nitrogen concentration after sewage treatment based on HCPS multilayer perceptrons
摘要
Abstract
In the existing prediction model of ammonia nitrogen in sewage treatment effluent, the hidden layer neurons excessively redundant, which wastes resources. A new structure adjustment algorithm( HCPS) based on sensitivity analysis( SA) and mutual information( MI) was proposed. The algorithm redefined the sensitivity formula, adaptively, adjusted the network structure by using sensitivity and mutual information, deleted hidden neurons with low sensitivity, divided hidden neurons with excessive sensitivity, and merged two hidden neurons with excessive mutual information. The results of verification on BSM1, a benchmark simulation platform for sewage treatment, showed that HCPS algorithm could obtain a more compact network structure, and the prediction accuracy of ammonia nitrogen concentration in effluent was higher.关键词
污水处理/氨氮浓度预测/软测量技术/神经网络结构自调整算法/多层感知器/结构自组织Key words
sewage treatment/ammonia nitrogen concentration prediction/soft measurement/HCPS/multilayer perceptron/structural self-organizing分类
信息技术与安全科学引用本文复制引用
高明,崔钶,李昊,栗三一..基于HCPS多层感知器的污水处理后氨氮浓度测量[J].轻工学报,2018,33(6):92-100,108,10.基金项目
国家自然科学基金项目(61603347) （61603347）
