物理化学学报 >> 1995, Vol. 11 >> Issue (07): 642-645.doi: 10.3866/PKU.WHXB19950715

研究简报 上一篇    下一篇

自组织神经树用于判别氟化物非晶态形成条件

蔡煜东,许伟杰,陈念贻   

  1. 中国科学院上海冶金研究所|上海 200050
  • 收稿日期:1994-05-03 修回日期:1994-08-11 发布日期:1995-07-15
  • 通讯作者: 蔡煜东

An Application of Self-organization Neural Network Tree to the Discrimination of Amorphous State of Trinary Fluoride

Cai Yu-Dong,Xu Wei-Jie,Chen Nian-Yi   

  1. Shanghai Institute of Metallurgy,Chinese Academy of Sciences,Shanghai 200050
  • Received:1994-05-03 Revised:1994-08-11 Published:1995-07-15
  • Contact: Cai Yu-Dong

关键词: 氟化物, 非晶态, 人工神经网络

Abstract:

In this paper, the self-organization neural network tree is presented to discriminate the amorphous state of trinary fluoride on the basis of some chemical bond parameters. And the computer intelligence expert system is built. The successful rate is high. The results indicates that the performance of the neural network method is good, and therefore it might be referred as an effective supplementary technique for the discrimination of amorphous state of compounds.

Key words: Fluoride, Amorphous state, Neural network