Abstract:Considering the eutrophication evaluation problems of complicated water environment, using the eutrophication inspection data of the Three Gorges Reservoir district to compare of the eutrophication evaluation models’ performances based SOM neural network and SVM. The results shows that both models have fast calculation speed and high precision，but compared to SOM neural network model, the SVM model has better stability and antijamming capability, also its preferences are simpler.