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- W4313182445 abstract "Online dynamic prediction of the hot metal silicon content in the blast furnace ironmaking process is crucial for stabilizing the furnace condition and improving the molten iron quality. However, due to the complex nonlinear correlations and time-varying time lags between silicon content and process variables, silicon content prediction is a challenging task. To tackle the problem, we propose a novel silicon content prediction method, called temporal hypergraph attention network (T-HyperGAT), which is combined the hypergraph attention network (HyperGAT) and the gated recurrent unit (GRU) network. Specifically, the Hyper-GAT is used to capture the high-order correlations of input features and perform equal-dimensional feature transformation to maintain the temporality of input features, and the GRU network is used to capture the time-series characteristics of transformed input features to overcome the time-varying time lags of process variables. Then the T-HyperGAT model can capture high-order correlations and time-series characteristics from complex industrial data. The effectiveness of the proposed T-HyperGAT method is verified by actual blast furnace ironmaking process data from a blast furnace in China." @default.
- W4313182445 created "2023-01-06" @default.
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- W4313182445 date "2022-01-01" @default.
- W4313182445 modified "2023-10-01" @default.
- W4313182445 title "Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace" @default.
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- W4313182445 doi "https://doi.org/10.1109/tim.2022.3219475" @default.
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