BOF End-Point Prediction Model Based on Nonlinear Homotopic BI Algorithm

机译：基于非线性同质BI算法的BOF终点预测模型

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摘要

Aiming at the defects of the neural network itself,such as low speed converging and liable to be trapped in local minimum,a homotopic BI neural network model is developed by combining the homotopy theory and the BI neural network model.While the end-point carbon content and temperature of molten steel is predicted by the new model,the precision of new model is improved accordingly.The hit rates are increased by about 5％ and 10％,and the forecasting residuals have decreased 16.31％ and 8.67％ than the conventional ones respectively.Also,the calculation time of the new model is10％ shorter than BI model.

机译：针对神经网络自身的缺陷，如收敛速度慢，容易陷入局部极小等，结合同伦理论和BI神经网络模型，开发了同构BI神经网络模型。新模型预测了钢水的含量和温度，相应地提高了模型的精度。命中率提高了约5％和10％，预测残差比常规模型降低了16.31％和8.67％。此外，新模型的计算时间比BI模型要短10％。

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来源
《The 4th Australia-China-Japan joint symposium on iron and steelmaking》|2012年|295-301|共7页
会议地点 Shenyang(CN)
作者
Feng Mingxia; Chen Ren; Li Qiang; Zou Zongshu;
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作者单位

Metallurgy Engineering College, Liaoning Institute of Science and Technology, 117004 Benxi, China;

Metallurgy Engineering College, Liaoning Institute of Science and Technology, 117004 Benxi, China;

School of Materials and Metallurgy, Northeastern University, Shenyang 110819, Liaoning, China;

School of Materials and Metallurgy, Northeastern University, Shenyang 110819, Liaoning, China;

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原文格式 PDF
正文语种 eng
中图分类钢铁冶炼（黑色金属冶炼）（总论）;
关键词
BOF model; end-point prediction; neural network; homotopy algorithm;

机译：转炉模型;终点预测；神经网络;同伦算法;

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BOF End-Point Prediction Model Based on Nonlinear Homotopic BI Algorithm

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