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WANG Hong-bing , XU An-jun , AI Li-xiang , TIAN Nai-yuan
钢铁研究学报(英文版)
The hybrid method composed of clustering and predicting stages is proposed to predict the endpoint phosphorus content of molten steel in BOF (Basic Oxygen Furnace). At the clustering stage, the weighted K-means is performed to generate some clusters with homogeneous data. The weights of factors infl...
关键词: basic oxygen furnace , endpoint phosphorus content , K-means , neural network , GMDH