Research of predictive model of drinking water quality based on wavelet neural network
- VernacularTitle:基于小波神经网络的饮用水水质预测模型研究
- Author:
Yu DENG
- Publication Type:Journal Article
- Keywords:
Wavelet neural network;
Wavelet analysis;
BP neural network;
Drinkingwater quality prediction
- From:
Journal of Chongqing Medical University
1986;0(04):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To provide the methodology reference for the drinking water quality prediction.Methods:A predictive model of drinking water quality was established by wavelet neural network.The monthly average concentration of potassium permanganate in Chongqing,one drinking water quality parameter,was predicted by the model,and the predictive results were compared with BP neural network.Results:RMSE and MAPE were applied to evaluate the predictive results.The research indicated that the precision of WNN model was superior to that of BP neural network model.Conclusion:The WNN model has better precision for drinking water quality prediction.
