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人工神经网络是80年代发展起来的数据处理技术，随着科学技术的进步和矿业生产的发展，为了提高效率，人们一直在寻求以较少的试验工作量，来获取最佳的指标。本文运用神经网络技术，在正交试验的基础上，以较少的试验工作量，建立了高精度的变量间的非线性回归方程，取得了满意的效果。
Artificial neural network is a data processing technology developed in the 1980s. With the advancement of science and technology and the development of mining production, in order to improve the efficiency, people are always seeking to obtain the best index with less trial work. In this paper, based on the orthogonal experiment, a nonlinear regression equation with high precision is established based on the orthogonal experiment with less experimental workload, and the satisfactory result is obtained.