摘要
本文将自组织神经树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，神经树方法性能良好，可能成为化合物结构分析的有效辅助手段。
Self-organized neural tree was applied to the criterion of the structural formation of tripletfilling cavity D88.The results thus ensuring for 65 compounds indicate that the method of neural treeis satisfactory in nature and may become an auxiliary mean for the structural analysis of Chemicalcompounds.
出处
《化学研究与应用》
CAS
CSCD
1995年第1期51-56,共6页
Chemical Research and Application
关键词
金属间化合物
D88结构
神经网络
神经树模型
Intermetallic compounds, D88 structure, Artificial neural network, self-organization neural tree.
