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采用人工神经网络(ANN)方法研究了稀土氟化物、氯化物、溴化物和碘化物的熔化焓与离子键参数之间的关系,由25组文献数据建立了预报稀土卤化物熔化焓的统一模型,并预报了其他45个稀土卤化物的熔化焓.ANN模型计算结果与已有文献数据吻合,没有实验数据报道的预报结果也显示出良好的规律性,说明人工神经网络建模预报化合物的熔化焓是一种有效的方法.
The relationship between the enthalpy of fusion and ionic bond parameters of rare earth fluorides, chlorides, bromides and iodides was studied by artificial neural network (ANN) method. A unified model for predicting the enthalpy of fusion of rare earth halides was established based on 25 sets of literature data , And predicted the enthalpies of melting of the other 45 rare earth halides.The calculation results of theANN model are in good agreement with those of the existing literatures.The forecast results reported without experimental data also show good regularity.The artificial neural network model predicts the melting of compounds Enthalpy is an effective method.