SIA OpenIR  > 广州中国科学院沈阳自动化研究所分所
Alternative TitleOnline Prediction Model of Water Quality Based on Ensemble RVM
谭承诚; 于广平; 邱志成
Source Publication计算机测量与控制
Contribution Rank2
Funding Organization广东省科技项目(2016A020221002)
Keyword污水处理 相关向量机 集成 在线预测 鲁棒性
Other AbstractWastewater treatment exists strong nonlinearity, unsteady operation and other characteristics, traditional hardware transducer are with huge maintenance problems and make it extremely difficult to obtain water-quality index quickly and accurately, such as BOD. Concerning the concert problems, an online prediction model of water quality based on ensemble RVM is proposed. Firstly, set RVM as weak predictor and then use improved AdaBoost. RT to embody several weak predictor into strong predictor. The simulation experiments demonstrated that this online prediction model has higher precision, better generalization ability, and overcomes the less effectiveness and robust problem of single predictor induced by increasing abnormal points. Therefore, the proposed model can meet the requirements of online prediction of water quality of wastewater treatment process.
Document Type期刊论文
Corresponding Author谭承诚
Recommended Citation
GB/T 7714
谭承诚,于广平,邱志成. 基于集成相关向量机的水质在线预测模型[J]. 计算机测量与控制,2018,26(3):224-227.
APA 谭承诚,于广平,&邱志成.(2018).基于集成相关向量机的水质在线预测模型.计算机测量与控制,26(3),224-227.
MLA 谭承诚,et al."基于集成相关向量机的水质在线预测模型".计算机测量与控制 26.3(2018):224-227.
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