| 人工神经网络模型在非ABO3型希土复氧化物电阻率特性分析中的应用 |
| |
| 引用本文： | 蔡煜东,甘骏人,姚林声,刘洪霖,陈念贻.人工神经网络模型在非ABO3型希土复氧化物电阻率特性分析中的应用[J].无机化学学报,1993,9(3):256-259. |
| |
| 作者姓名： | 蔡煜东 甘骏人 姚林声 刘洪霖 陈念贻 |
| |
| 作者单位： | 中国科学院上海冶金研究所 上海200050
(蔡煜东，甘骏人，姚林声，刘洪霖)，中国科学院上海冶金研究所 上海200050(陈念贻) |
| |
| 摘 要： | 目前,人工神经网络在模式识别及其他领域的应用引起了普遍的关注.本文叙述“反向传播”神经网络模型,算法和在非ABO_3型希土复氧化物电阻率分析中的应用,实验结果表明,神经网络的判别正确率为100％,因此,该方法可望成为化合物分析,材料设计的辅助手段.
|
| 关 键 词： | 神经网络 模式识别 化合物分析 |
| 收稿时间： | 1992/2/25 0:00:00 |
RECOGNITION OF THE RESISTANCE RATE OF R.E.COMPLEX OXIDES OF NON-ABO3 TYPE BY NEURAL NETWORK |
| |
| Cai Yudong,Gan Junren,Yao Linsheng,Liu Honglin and Chen Nianyi.RECOGNITION OF THE RESISTANCE RATE OF R.E.COMPLEX OXIDES OF NON-ABO3 TYPE BY NEURAL NETWORK[J].Chinese Journal of Inorganic Chemistry,1993,9(3):256-259. |
| |
| Authors: | Cai Yudong Gan Junren Yao Linsheng Liu Honglin and Chen Nianyi |
| |
| Institution: | Shanghai Institute of Metallurgy, Academia Sinica, Shanghai 200050,Shanghai Institute of Metallurgy, Academia Sinica, Shanghai 200050,Shanghai Institute of Metallurgy, Academia Sinica, Shanghai 200050,Shanghai Institute of Metallurgy, Academia Sinica, Shanghai 200050 and Shanghai Institute of Metallurgy, Academia Sinica, Shanghai 200050 |
| |
| Abstract: | At present, neural network has brought wide attention in pattern recognition and other fields. The back-propagation neural network model, algorithm and its application to the predictin of the resistance rate of R.E. complex oxides of non-ABO3 type were presented in this paper . The experimental results showed that the correct rate of neural network reached 100%. Therefore the neural network method might be referred as an assistant technique for analysis of compound and material design. |
| |
| Keywords: | neural network pattern recognition analysis of compound material design |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《无机化学学报》浏览原始摘要信息 |
| 点击此处可从《无机化学学报》下载免费的PDF全文 |
|
