Lake eutrophication prediction based on improved MIMO-DD-3Q Learning
Li Wang,
Chaoran Ning,
Xiaoyi Wang
et al.
Abstract:As for the problem that the traditional single depth prediction model has poor strain capacity to the prediction results of time series data when predicting lake eutrophication, this study takes the multi-factor water quality data affecting lake eutrophication as the main research object. A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current… Show more
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