对双药投加的建模方法同时尝试采用三氯化铁的预测效果做为pac的输入,pac模型输入的特征值为 features = [′进水ph′, ′进水温度′, ′进水流量′, ′出水温度′, ′出水浊度′, ′进水浊度...单独投加建模及进行比较发现,xgboost算法的mape、mae值最小,因而首选xgboost算法对三氯化铁、pac进行建模,联合投加建模方法首先采用pac的预测效果做为三氯化铁的输入,三氯化铁模型特征值为 features
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