| 利用神经网络预测连铸保护渣性能 |
| |
| 引用本文： | 向嵩,王雨.利用神经网络预测连铸保护渣性能[J].连铸,2005(5):43-44. |
| |
| 作者姓名： | 向嵩 王雨 |
| |
| 作者单位： | 1. 北京科技大学
2. 重庆大学材料科学与工程学院 |
| |
| 摘 要： | 在实验的基础上建立基于神经网络的连铸保护渣性能预测模型,经对比分析表明,用神经网络对连铸保护渣性能进行训练和学习后,神经网络方法能有效和比较准确地对保护渣性能进行预测.
|
| 关 键 词： | 连铸保护渣性能 神经网络 连铸生产 工艺参数 |
Properties prediction of casting powder with neural network |
| |
| XIANG Song,WANG Yu.Properties prediction of casting powder with neural network[J].CONTINUOUS CASTING,2005(5):43-44. |
| |
| Authors: | XIANG Song WANG Yu |
| |
| Affiliation: | University of Science and Technology Beijing ;College of Material Science and Engineering, Chongqing University |
| |
| Abstract: | The neural network prediction model of continuous casting powder was established on the basis of experiment. The results show that the neural network, after studied and trained, can predict the property of CC powder effectively and accurately. |
| |
| Keywords: | |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
