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用人工神经网络预测了液态纯金属的表面张力， 在Ｂｕｔｌｅｒ 方程的基础上用Ｃ＋ ＋ 语言编制了由合金熔体热力学参数和纯组元表面张力计算液态合金表面张力的计算程序—ＳＴＣＢＥ。一批Ｓｎ 基、Ａｇ 基和Ｃｕ 基二元合金的计算值与实验值吻合很好， 预测了１４００ Ｋ时二元液态合金ＣｕＲＥ（ＲＥ：Ｃｅ，Ｐｒ，Ｎｄ）的表面张力。
The surface tension of liquid pure metal was predicted by artificial neural network. Based on the Butler equation, the calculation program-STCBE was developed by calculating the surface tension of liquid alloy from the thermodynamic parameters of alloy melt and pure component surface tension using C + + language. The calculated values of a group of Sn-based, Ag-based and Cu-based binary alloys are in good agreement with the experimental data and the surface tension of Cu RE (RE: Ce, Pr, Nd) at 1400 K is predicted.