2022
DOI: 10.1007/s10489-022-03234-8
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A blast furnace coke ratio prediction model based on fuzzy cluster and grid search optimized support vector regression

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Cited by 10 publications
(1 citation statement)
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“…In addition, due to the differences in the quality and composition of the materials from batches, the process variables frequently fluctuate under the influence of complex physicochemical reactions in the furnace, which will lead to the GUR changing significantly in a short period. [27,28] Therefore, it is necessary to cluster the process variables under different BF working conditions and establish multiple submodels to accurately and reliably predict GUR.…”
mentioning
confidence: 99%
“…In addition, due to the differences in the quality and composition of the materials from batches, the process variables frequently fluctuate under the influence of complex physicochemical reactions in the furnace, which will lead to the GUR changing significantly in a short period. [27,28] Therefore, it is necessary to cluster the process variables under different BF working conditions and establish multiple submodels to accurately and reliably predict GUR.…”
mentioning
confidence: 99%