{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T14:45:30Z","timestamp":1770043530461,"version":"3.49.0"},"reference-count":25,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,9,15]]},"abstract":"<jats:p>Basic oxygen furnace (BOF) steelmaking plays an important role in steelmaking process. Hence, it is necessary to study BOF steelmaking modeling. In this paper, a novel regression algorithm is proposed by using nonparallel support vector regression with weight information (WNPSVR) for the end-point prediction of BOF steelmaking. The weight information is excavated by K-nearest neighbors (KNNs) algorithm. Since the whale optimization algorithm (WOA) has the characteristics of fast convergence speed and a few adjustment parameters, WOA is applied to optimize the parameters in the objective function of WNPSVR. Compared with traditional prediction models, WNPSVR-WOA is not easy to fall into local minimum values and is insensitive to noise. Thus, the prediction and control of molten steel end-point information are more accurate. Experimental results verify the effectiveness and feasibility of the proposed model. Within different error bounds (0.005\u200awt.% for carbon content model and 10\u00b0C for temperature model), the hit rates of carbon content and temperature are 89% and 95%, respectively. Meanwhile, a double hit rate of 85% is achieved. The above results conclude that our WNPSVR-WOA has important reference value for actual BOF application and can improve the steel product quality. Moreover, WNPSVR-WOA can also be used to other fields.<\/jats:p>","DOI":"10.3233\/jifs-210007","type":"journal-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T12:53:24Z","timestamp":1626785604000},"page":"2923-2937","source":"Crossref","is-referenced-by-count":12,"title":["End-point prediction of 260 tons basic oxygen furnace (BOF) steelmaking based on WNPSVR and WOA"],"prefix":"10.1177","volume":"41","author":[{"given":"Liming","family":"Liu","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, China"}]},{"given":"Ping","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, China"}]},{"given":"Maoxiang","family":"Chu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, University of Science and Technology 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