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应用人工神经网络对ＭｇＯ－Ｂ_２Ｏ_３－ＳｉＯ_２渣系组成与硼提取率关系进行拟合和预测，首次采用遗传算法对组成优化，并得到最佳硼提取率所对应的组成。
The relationship between the composition of MgO-B 2 O 3 -SiO 2 slag system and the boron extraction rate was fitted and predicted by artificial neural network. The genetic algorithm was used to optimize the composition for the first time, and the composition of the optimum boron extraction rate was obtained.