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AdaBoost自适应增益与排队论在铁-钢界面中的研究与应用

AdaBoost Adaptive Gain and Queueing Theory in Iron Steel Interface Research and Application
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摘要 文章针对铁–钢界面中铁水运输过程中出现的问题与挑战,提出了一种结合AdaBoost自适应增益与排队论的优化方法。通过分析铁水运输领域的研究现状,介绍了AdaBoost算法的发展与应用,以及排队论在铁钢界面中的应用。结果表明,该方法可有效提高铁水运输的效率,降低铁水温降,优化铁包周转过程。文章的研究对于提高我国铁–钢界面运输效率,减少资源浪费,具有重要的理论意义和实际价值。 This article proposes an optimization method that combines AdaBoost adaptive gain and queuing theory to address the problems and challenges in the transportation of molten iron at the iron steel interface.By analyzing the current research status in thefield of molten iron transportation,this paper introduces the development and application of AdaBoost algorithm,as well as the application of queuing theory in the interface between iron and steel.The results indicate that this method can effectively improve the efficiency of molten iron transportation,reduce the temperature drop of molten iron,and optimize the iron ladle turnover process.The research in this article has important theoretical significance and practical value for improving the efficiency of iron steel interface transportation in China and reducing resource waste.
作者 高源 GAO Yuan
出处 《今日自动化》 2024年第5期141-143,共3页 Automation Today
关键词 ADABOOST 排队论 铁–钢界面 铁包周转 效率 AdaBoost queuing theory iron steel interface iron iadle turnover efficiency
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