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In this paper, a water quality evaluation model of nearshore (Dalian Bay) is built through artificial neural network based on the analysis of history information and monitoring data. In which a back propagation (BP) network is used. A hierarchical prediction model is established according to water quality at different period. Results illustrates the methodology is practicable and can be provided scientific proof for water quality evaluation and prevention of Dalian Bay. The method does not demand data's rules and has the characteristic of impersonality, credibility and highly inaccuracy permission. At the same time the predictive relative error is little.