Study on improved BP artificial neural networks in eutrophication assessment of China eastern lakes

An improved back propagation artificial neural network model for eutrophication evaluation of China eastern was constructed, and a new approach producing training set data, testing set data and critical values set data distributed a normal distribution between the critical values was established. The model was applied to 4 eastern lakes and the results shows that the method is suitable for eutrophication assessment of lakes.