Application of neural network based on MATLAB toolbox to the evaluation of lake eutrophication

A BP neural network model based on MATLAB toolbox is established to assess the eutrophication of lakes. It is applied to the evaluation of 9 lakes in China. The results fit well with those concluded by the grading evaluation method, the fuzzy mathematics method, and the fuzzy-Grey decision-making method. It shows that this simple, clear, and efficient model can be generally and practically used.