| 基于回声状态网络的转炉终点碳和温度预测 |
| |
| 引用本文： | 耿涛,李启贤. 基于回声状态网络的转炉终点碳和温度预测[J]. 冶金丛刊, 2011, 0(3): 4-7 |
| |
| 作者姓名： | 耿涛 李启贤 |
| |
| 作者单位： | 重庆大学材料科学与工程学院,重庆,400044 |
| |
| 摘 要： | 本文利用回声状态网络建立了转炉终点钢水碳含量和温度预测模型,并应用遗传算法优化其主要参数。选用某钢厂3座120t转炉的实测数据对该网络模型进行离线训练和仿真测试,结果表明回声状态网络模型比BP神经网络模型在预测精度上有所提高。这为开展转炉实时预测工作提供了方法指导。
|
| 关 键 词： | 转炉终点预测 回声状态网络 遗传算法 |
PREDICTION FOR THE CONTENT OF CARBON AND TEMPERATURE AT THE ENDPOINT OF BOF BASED ON ECHO STATE NETWORK |
| |
| Geng Tao,Li Qixian. PREDICTION FOR THE CONTENT OF CARBON AND TEMPERATURE AT THE ENDPOINT OF BOF BASED ON ECHO STATE NETWORK[J]. Metallurgical Collections, 2011, 0(3): 4-7 |
| |
| Authors: | Geng Tao Li Qixian |
| |
| Affiliation: | Geng Tao Li Qixian(School of Material Science and Engineering,Chongqing University,Chongqing,400044,China) |
| |
| Abstract: | An ESN model of endpoint temperature and the carbon content was set up,and the main parameters of the model were optimized by the genetic algorithm.The practical data of three 120t converters from a steel plant was selected for off-time training of the network model and simulating test.The results showed that the echo state network model was better than BP neural network model for improving the prediction accuracy.It provided method guidance for real-time forecasting. |
| |
| Keywords: | prediction of the endpoint of BOF echo state network genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
