Research on Water Environmental Quality Assessment of Fu River with BP NN

Fu River is an important river because of its rich freshwater resources while it has become some polluted because of industry development. Then how to correctly evaluate water quality becomes more and more important. In the field of water quality assessment, the evaluation factors and water quality grades have complicated non-linear relationships. BP (Back propagation) has been popularly used in every field which has the capability of dealing with non-linear systems. Artificial neural network model can easily solve the complex non-linear relationship by self-learning which can change weights of every layer without man involving. One BP neural network model on the water quality of Fu River assessment is built. Moreover, it can analyze the contaminated degree. BP NN (Network Neural) is improved as an effective water quality assessment method by one instance.