AdaBoost Adaptive Gain and Queueing Theory in Iron Steel Interface Research and Application
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 the field 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.
万方数据
维普
