| 基于免疫粒子群神经网络的污水水质预测 |
| |
| 引用本文： | 郑广勇,罗飞,陈伟斌.基于免疫粒子群神经网络的污水水质预测[J].微处理机,2010,31(2):75-77,81. |
| |
| 作者姓名： | 郑广勇 罗飞 陈伟斌 |
| |
| 作者单位： | 华南理工大学自动化学院,广州,510640 |
| |
| 基金项目： | 国家自然科学基金，教育部高等学校博士学科点专项科研基金(新教师基金课题) |
| |
| 摘 要： | 针对污水处理过程所具有的多变量、非线性和大时滞的特点, 利用出水水质参数与多个可测过程参数间的相关关系,给出了基于RBF神经网络的出水水质参数预测模型.采用免疫粒子群优化算法来训练网络的隐层节点、径向基函数的中心点和网络权值.以反应时间、DO浓度、ORP和pH值作为输入参数,实现对COD,NH3-N,TP等水质参数的预测.仿真试验表明,该预测模型对污水处理出水水质参数COD,NH3-N,TP具有理想的预测效果.
|
| 关 键 词： | 污水处理 神经网络 免疫粒子群算法 预测 |
Quality Prediction of Wastewater Treatment Based on Immune Particle Swarm Neural Networks |
| |
| ZHENG Guang-yong,LUO Fei,CHEN Wei-bin.Quality Prediction of Wastewater Treatment Based on Immune Particle Swarm Neural Networks[J].Microprocessors,2010,31(2):75-77,81. |
| |
| Authors: | ZHENG Guang-yong LUO Fei CHEN Wei-bin |
| |
| Affiliation: | ZHENG Guang-yong,LUO Fei,CHEN Wei-bin(College of Automation Science , Engineering,South China University of Technology,Guangzhou 510640,China) |
| |
| Abstract: | A effluent quality parameters predictive model based on RBF neural network is proposed for the sequential wastewater treatment processes,regarding the characteristics of multivariable,nonlinear,big-lagged in the treatment process,and utilizing the relationship between effluent quality parameters and the measurable process parameters.The nodes of hidden layer,the centers of Radial Basis Function and network weights are trained by applying the immune particle swarm optimization algorithm.Reaction time,DO(diss... |
| |
| Keywords: | Wastewater treatment Neural network Immune particle swarm algorithm Prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
