DESCRIMINATION OF D88 STRUCTURE OF INTER-METALLIC COMPOUNDS BY SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK

Acta Metall Sin

1995, Vol. 31

Issue (18): 280-283 DOI:

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DESCRIMINATION OF D88 STRUCTURE OF INTER-METALLIC COMPOUNDS BY SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK

CAI Yudong; XU Weijie; CHEN Nianyi(Shanhai Institute of Metallurgy; ChineseA cademy of Sciences; Shanhai 200050)

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CAI Yudong; XU Weijie; CHEN Nianyi. DESCRIMINATION OF D88 STRUCTURE OF INTER-METALLIC COMPOUNDS BY SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK. Acta Metall Sin, 1995, 31(18): 280-283.

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Abstract

Kohonen′s self-organization neural network is presented to discriminate D88 structure of inter-metallic compounds. After the research for 65 compounds, the results indicated that the performance of the network is good, and therefore it might be referred as an effective assistant technique for analysis of structure of compounds.

Key words: inter-metallic compound D88 structure artificial neural network Kohonen′s self-organization model

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https://www.ams.org.cn/EN/ OR https://www.ams.org.cn/EN/Y1995/V31/I18/280

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