在以前的工作中,我们曾用化学键参数与模式识别或人工神经网络相结合,总结MX-M′X_2和MX-M′X_3型卤化物系的中间化合物形成、化学配比和熔化类型(同分或异分熔化)的规律.最近我们将上述方法扩大应用于其他卤化物系.此处报道研究 In previous work, we have used chemical bond parameters in combination with pattern recognition or artificial neural networks to summarize the formation of intermediate compounds of the MX-M’X_2 and MX-M’X_3 halides series. The chemical composition and melting types Points or different melting.) Recently, we will expand the application of the above methods to other halogenated systems reported here