| 基于PSO-RBF神经网络模型的原水水质评价方法及应用 |
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| 引用本文： | 王冬生,李世华,周杏鹏.基于PSO-RBF神经网络模型的原水水质评价方法及应用[J].东南大学学报(自然科学版),2011,41(5):1019-1023. |
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| 作者姓名： | 王冬生 李世华 周杏鹏 |
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| 作者单位： | 东南大学复杂工程系统测量与控制教育部重点实验室,南京,210096 |
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| 基金项目： | 江苏省科技支撑计划资助项目(BS2007113) |
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| 摘 要： | 针对自来水生产过程的原水水质评价问题,提出了一种基于PSO-RBF神经网络模型的原水水质评价方法.首先,根据水厂生产经验和历史数据分析,制定面向自来水生产过程的原水水质评价标准.然后,采用粒子群优化(PSO)算法训练的RBF神经网络模型,对苏州市相城水厂的进厂原水水质实施在线评价.最后,将进厂原水水质在线评价结果作为前...
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| 关 键 词： | 原水水质评价 RBF神经网络 粒子群优化算法 前馈控制 |
Assessment method of raw water quality based on PSO-RBF neural network model and its application |
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| Wang Dongsheng,Li Shihua,Zhou Xingpeng.Assessment method of raw water quality based on PSO-RBF neural network model and its application[J].Journal of Southeast University(Natural Science Edition),2011,41(5):1019-1023. |
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| Authors: | Wang Dongsheng Li Shihua Zhou Xingpeng |
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| Institution: | Wang Dongsheng Li Shihua Zhou Xingpeng(Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education,Southeast University,Nanjing 210096,China) |
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| Abstract: | In consideration of the assessment problem of raw water quality oriented to drinking water treatment process,an assessment method of raw rater quality based on the PSO-RBF neural network model is proposed.First,on the basis of productive experiences and analysis of historical data in the waterworks,an assessment standard oriented to the process of drinking water treatment is established.Then,the radial basis function(RBF) neural network model trained by the particle swarm optimization(PSO) algorithm is used... |
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| Keywords: | raw water quality assessment RBF neural network particle swarm optimization algorithm feed-forward control |
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