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Citation: Cai Yu-Dong, Xu Wei-Jie, Chen Nian-Yi. An Application of Self-organization Neural Network Tree to the Discrimination of Amorphous State of Trinary Fluoride[J]. Acta Physico-Chimica Sinica, ;1995, 11(07): 642-645. doi: 10.3866/PKU.WHXB19950715 shu

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

1.
Shanghai Institute of Metallurgy,Chinese Academy of Sciences,Shanghai 200050

Received Date: 3 May 1994
Available Online: 15 July 1995

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 od, and therefore it might be referred as an effective supplementary technique for the discrimination of amorphous state of compounds.
- Fluoride,
- Amorphous state,
- Neural network
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