| 自组织学习联想神经树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,唐贇,陆文聪,阎立诚.自组织学习联想神经树在氟化物非晶态形成的判别条件中的应用[J].高等学校化学学报,1996(4). |
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| 作者姓名： | 蔡煜东 唐贇 陆文聪 阎立诚 |
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| 作者单位： | 中国科学院上海生物工程研究中心，上海大学化学系 |
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| 摘 要： | 运用自组织学习联想神经树，利用化学键参数法，研究了三元系氟化物非晶态形成的判别条件，建立了相应的计算机判别智能专家系统。对３个未知样本进行判别，分类结果正确。该方法可望成为研究化合物非晶态形成条件的有效辅助手段。
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| 关 键 词： | 氟化物，非晶态形成条件，人工神经网络，自组织学习联想神经树 |
Learning Association by Self-Organization Neural Tree Applied to the Estimation of Formation Condition for Amorphous Phase of Trinal Fluorides |
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| CAI Yu-Dong.Learning Association by Self-Organization Neural Tree Applied to the Estimation of Formation Condition for Amorphous Phase of Trinal Fluorides[J].Chemical Research In Chinese Universities,1996(4). |
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| Authors: | CAI Yu-Dong |
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| Abstract: | In this paper,Learning Association by Self-organization neural tree (LASSONT)was applied to the estimation of the formation condition for amorphous phase of trinal fluorides by using the chemical bond parameters,and the intelligential expert systems for computer estimation was established.The classification results show that the performance of theneural tree is good,and therefore LASSONT might be referred as an effective assistant technique for the investigation of formation condition of amorphous phase of trinal fluorides. |
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| Keywords: | Fluoride Condition for amorphous formation Artifical neural network Learning association by Self-organization neural tree(LASSONT) |
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