Abstract:In order to establish an effective coal mine floor water inrush prediction model, a neural network prediction method of water inrush based on an improved SMOTE algorithm expanding a small sample dataset and optimizing a deep confidence network was proposed. ISMOTE is used to enlarge the coal mine's measured data collection, while PCA is used to minimize the data's dimension. DBN is used to extract water inrush data features and estimate water inrush danger in coal mines. As the water inrush samples are small, … Show more
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