水污染物浓度的神经网络预测模式及效果检验

Prediction of pollutant concentration using artificial neural network and its verification

污染物浓度预测是环境保护的重要内容,将神经网络用于水中有机污染物浓度的预测并对效果进行检验。结果表明,预测值与观测值符合较好。

The artificial neural network is used to predict the observational data of the atmospheric pollution concentration and the test results. The results show that the predicted values and the observed ones are in good conformity.