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- W2896661079 abstract "The burden distribution matrix is an important means of controlling the burden distribution of blast furnace. In order to provide references to foremen of blast furnaces, a model is established in this paper, which is a relationship model between blast furnace parameters and burden distribution matrix, and is based on the extreme learning machine algorithm (ELM). The model decides if the next burden distribution matrix should be adjusted through a series of blast furnace parameters, such as the gas utilization rate, the blast volume, the blast pressure, the top pressure, the blast velocity, the permeability index, and the utilization coefficient. Finally, compared to other methods used LSSVM and PNN, the method based on ELM is faster and more accurate, so it is more suitable." @default.
- W2896661079 created "2018-10-26" @default.
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- W2896661079 date "2018-10-17" @default.
- W2896661079 modified "2023-09-23" @default.
- W2896661079 title "Classification of Burden Distribution Matrix Based on ELM" @default.
- W2896661079 cites W1894514722 @default.
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- W2896661079 doi "https://doi.org/10.1007/978-3-030-01520-6_20" @default.
- W2896661079 hasPublicationYear "2018" @default.
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