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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。
The Kohonen self-organizing artificial neural network is applied to determine the formation conditions of intermetallic compound ternary interstitial space D88 structure. The results of 65 compounds show that the performance of the neural network method is good, which is expected to be an effective adjunct to the structural analysis of compounds.