Learning Association by Self-Organization Neural Tree Applied to the Estimation of Formation Condition for Amorphous Phase of Trinal Fluorides

Chem. J. Chinese Universities ›› 1996, Vol. 17 ›› Issue (4): 531.

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Learning Association by Self-Organization Neural Tree Applied to the Estimation of Formation Condition for Amorphous Phase of Trinal Fluorides

CAI Yu-Dong¹, TANG Yun², LU Wen-Cong², YAN Li-Cheng²

1. Shanghai Research Center of Biotechnology, Chinese Academy of Sciences, Shanghai 200233;
2. Department of Chemistry, Shanghai University

Received:1995-05-05 Online:1996-04-24 Published:1996-04-24

Abstract

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 LASSONTmight be referred as an effective assistant technique for the investigation of formation condition of amorphous phase of trinal fluorides.

Key words: Fluoride, Condition for amorphous formation, Artifical neural network, Learning association by Self-organization neural tree(LASSONT)

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CAI Yu-Dong, TANG Yun, LU Wen-Cong, YAN Li-Cheng. Learning Association by Self-Organization Neural Tree Applied to the Estimation of Formation Condition for Amorphous Phase of Trinal Fluorides[J]. Chem. J. Chinese Universities, 1996, 17(4): 531.

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Learning Association by Self-Organization Neural Tree Applied to the Estimation of Formation Condition for Amorphous Phase of Trinal Fluorides

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