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应用晶格能极小化技术计算了１９种磷酸铝分子筛的骨架晶格能，采用一元线性回归分析、多元线性回归分析和人工神经网络误差反传算法（ＢＰ），将其骨架晶格能与骨架拓扑结构参数相关．预测结果与计算晶格能吻合，表明晶格能与配位序（Ｎ２～Ｎ３）具有良好的多元线性关系．利用多元线性回归方程对１０种结构的磷酸铝分子筛的骨架晶格能进行了预测
The lattice energy of 19 kinds of aluminum phosphate molecular sieves was calculated by using the lattice energy minimization technique. The linear regression analysis, multivariate linear regression analysis and artificial neural network error back propagation algorithm (BP) Skeleton topology parameters are related. The predicted results agree well with the calculated lattice, indicating that the lattice energy has good multiple linear relationship with the coordination (N2 ~ N3). The lattice energy of 10 kinds of aluminophosphate molecular sieves was predicted by multivariate linear regression equation