| 自组织人工神经网络在氟化物非晶态形成的判别条件中的应用 |
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| 引用本文： | 蔡煜东,许伟杰,陈念贻.自组织人工神经网络在氟化物非晶态形成的判别条件中的应用[J].无机化学学报,1994,10(2):151-154. |
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| 作者姓名： | 蔡煜东 许伟杰 陈念贻 |
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| 作者单位： | 中国科学院上海冶金研究所 |
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| 摘 要： | 本文运用Ｔ．Ｋｏｈｏｎｅｎ自组织人工神经网络，利用化学健参数法，研究了三元系氟化物非晶态形成的判别条件，建立了相应的计算法判别智能软件．识别成功率较高．结果表明，该方法性能良好，可望成为研究化合物非晶态形成条件的有效的辅助手段．
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| 关 键 词： | 氟化物，非晶态形成条件，人工神经网络，T．Kohonen自组织模型 |
| 收稿时间： | 1993/3/20 0:00:00 |
AN APPLICATION OF T.KOHONEN SELF ORGANIZATION ARTIFICIAL NEURAL NETWORK TO THE ESTIMATION OF THE FORMATION CONDITION FOR AMORPHOUS PHASE OF TRINAL FLUORIDE |
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| Cai Yudong,Xu Weijie and Chen Nianyi.AN APPLICATION OF T.KOHONEN SELF ORGANIZATION ARTIFICIAL NEURAL NETWORK TO THE ESTIMATION OF THE FORMATION CONDITION FOR AMORPHOUS PHASE OF TRINAL FLUORIDE[J].Chinese Journal of Inorganic Chemistry,1994,10(2):151-154. |
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| Authors: | Cai Yudong Xu Weijie and Chen Nianyi |
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| Institution: | Shanghai Institute of Metallurgy. Chinese Academy of Science. Shanghai 200050 |
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| Abstract: | In this paper, T.Kohoncn self-organization artificial neural Network was applied to the estimation of the formation condition for amorphous phase of trinal fluoride'by using the parameters method of chemical bonds, and the intelligential sorfware for estimation was established. The successful rate is high. The results showed that the performance of the neural network was good, arid therefore it might be referred as an effective assistant technique for formahon condition for amorphous phase of compounds. |
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| Keywords: | fluoride condition for amorphous formation artifical neural network T Kohonen self-organization model |
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