| SiO2-Al2O3-CaO-Na2O-MgO系微晶玻璃热膨胀系数的神经网络模型 |
| |
| 引用本文： | 赵秀改.SiO2-Al2O3-CaO-Na2O-MgO系微晶玻璃热膨胀系数的神经网络模型[J].广西大学学报(自然科学版),2000,25(4):307-309. |
| |
| 作者姓名： | 赵秀改 |
| |
| 作者单位： | 广西大学计算机与信息工程学院,广西,南宁,530004 |
| |
| 基金项目： | 中国科学院资助项目，， |
| |
| 摘 要： | 应用人工神经网络建立了SiO2-Al2O3-Na2O-MgO系微晶玻璃组成与热膨胀系数关系的网络模型，结果表明：本网络模型具有很高的预报精度，可以准确预测相应组成的热膨胀系数，人工神经网络为材料设计，性能预计提供了一条新的途径。
|
| 关 键 词： | SiO2－Al2O3－CAO－NA2O－MgO系 微晶玻璃 热膨胀系数 人工神经网络 |
| 修稿时间： | 2000-01-03 |
Model for coefficient of thermal expansion in SiO2-Al2O3-CaO-Na2O-MgO glass-ceramicusing artificial neural network |
| |
| ZHAO Xiu-gai.Model for coefficient of thermal expansion in SiO2-Al2O3-CaO-Na2O-MgO glass-ceramicusing artificial neural network[J].Journal of Guangxi University(Natural Science Edition),2000,25(4):307-309. |
| |
| Authors: | ZHAO Xiu-gai |
| |
| Abstract: | The prediction model for the coefficient of thermal expansion in SiO 2-Al 2O 3-CaO-Na 2O-MgO glass ceramics was investigated based on artificial neural network(ANN). The results show that the precision for the model is very high and ANN is one of promising methods for materials designs and quantitative prediction of materials properties. |
| |
| Keywords: | SiO 2 Al 2O 3 CaO Na 2O MgO system glass ceramic composition coefficient of thermal expand artificial neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
