四川环境2018，Vol.37Issue(1)：39-43,5.
基于BP神经网络模型在珊溪水库水华预测中的应用
The Application of BP Neural Network in Forecasting Algal Blooms of Shanxi Reservoir
摘要
Abstract
Based on the emergency monitoring data of algal blooms period in Shanxi reservoir,the data matrix of pH,CODMn,TN,TP and Chl.a was established.Using MATLAB R2015b GUI visual interface module,the emergency monitoring data matrix was divided into training samples,validation samples and test samples in order to establish the BP neural network model and predict the concentration of Chl.a during the period of algae blooms.The results showed that the correlation coefficient between the output data and the measured data was 0.978,the average relative error was-0.19％,the standard deviation was 18.54％.The model has good stability,the prediction of Chl.a meet expectation.BP neural network prediction model provided a scientific basis for the protection of Shanxi reservoir.关键词
MATLAB/BP神经网络/珊溪水库/水华预测Key words
MATLAB/BP neural network/Shanxi reservoir/algal booms prediction分类
资源环境引用本文复制引用
王珅,万哲慧,冯孙林,黄晶,刘秀峰,赵小敏..基于BP神经网络模型在珊溪水库水华预测中的应用[J].四川环境,2018,37(1):39-43,5.基金项目
浙江省自然科学基金(LZ12C03001) （LZ12C03001）
温州市“水体污染控制与治理”科技创新项目(S20140024)资助. （S20140024）
