Abstract
Aiming at the problems existing in the process of river water quality detection, this paper proposes a BOD prediction model based on GA-RandomForest optimization, and evaluates the model through MAE and MAPE, and achieves good results. And the forecast experiment is carried out through the water quality data of Chaohu Lake for 3 months. The experimental results show that the BOD prediction model based on GA-RandomForest is effective, and the model is based on higher accuracy.
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