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By the analysis of coagulant dosing rate and its influencing factors, the neural network predicting theory was introduced into the water treatment technology creatively and a predicting model of coagulant dosing rate was established. The test results obtained indicate that this model is adaptive and its self-learning ability is effective. The prediction results' accuracy can be markedly improved by the neural network's online self-learning. The online predictive control of coagulant dosing rates can be achieved by using this model, and presents an effective way for the realization of optimal coagulant dosing rates.