This paper presents the prediction of Si content of molten iron by adopting methods of multivariate linear regression and neural networks.
文章分别用多元线性回归方法和神经元网络方法对铁水的硅含量进行预测。
The Molecular Interaction Volume Model(MIVM) is introduced for the prediction and fitting of the activities of liquid alloys Ni-Mg-Cu, Ni-Al-Si and Ni-Cu-Co in the ternary systems.
应用分子相互作用体积模型对二元和三元液态合金的组元活度进行预测及拟合，计算结果与实验数据吻合较好。
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