用自组织人工神经网络研究黄土孔隙性分类判别

Studies on the Differentiation of Loess Porosity Classification by the Method of Self-organizationalArtificial Nerve Network

本文运用三维Ｔ·Ｋｏｈｏｎｅｎ自组织人工神经网络，对洛川黄土孔隙性的实例数据进行了分析，建立了洛川黄土孔隙性预测的计算机智能专家系统。结果表明，神经网络方法性能良好，可望成为黄土孔隙性分类判别的有效辅助手段。

Using by the three-demension T. Kohonen self-organizational artificial nerve network, this paper analysed the data of loess porosity in Luochuan area and set up the computer intellingence expert system of loess porosity calculation. The result shows that the nerve network method is quite effective in the classification and differentiation of loess porosity.