膨胀土判别与分类的人工神经网络方法

提出了运用神经网络理论对膨胀土进行判别与分类的方法。通过对安康膨胀土的实测数据分析，建立了研究膨胀土判别与分类的计算机智能专家系统。结果表明，用人工神经网络方法对膨胀土进行判别与分类的准确率很高，它无需在判别因子与预测目标之间建立基于某种理论的经验统计关系，该方法具有重要的实用价值。

MAN-MADE NEURAL NETWORK METHOD FOR DISCRIMINATION AND CLASSIFICATION OF EXPANSION SOIL

Based on analyses of the measured data obtained from Ankang expansion soil,an intelligent computer expert system for the discrimination and classification of expansion soil has been set up in the research area.The results of the research show that such a system is able to achieve a high accuracy in the discrimination and classification of expansion soil without the building up of an experiential statistical relationship between the predictable factor and the predictable objective.