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Algae bloom outbreak is a dynamic nonlinear process with time-varying characteristics and it is difficult for existing algal bloom prediction method to consider the complex characteristics, which leads to low accuracy prediction. For the problem, a dynamic deep belief nets model that combines time series analysis with deep learning methods is proposed by analyzing algal bloom outbreak mechanism. The...
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