将Ｋｏｈｏｎｅｎ自组织人工神经网络应用于金属间化合物三元填隙Ｄ８８结构形成条件的判别上。对６５种化合物的研究结果表明，神经网络方法性能好，可望成为化合物结构分析的有效辅助手段。
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.
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