BAYES DISCRIMINANT ANALYSIS FOR THE IDENTIFICATION AND CLASSIFICATION OF EXPANSIVE SOIL
膨胀土判别与分类的Bayes判别分析法

Based on the principle of Bayes discriminant analysis,a Bayes discriminant model for evaluating expansive soil is established.Five indexes,including the liquid limit,the overall rate of expansion and contrac- tion,plastic index,moisture content,free expansion rate,are selected as the factors for synthetic evaluation of expansive soil.The shrink and expansion is divided into four grades as four normal populations in Bayes discriminant analysis.Bayes discriminant functions obtained through training a set of expansive soil samples are used to compute the Bayes function values of the evaluating samples,and the maximal function value is used to judge which population the evaluating sample belongs to.The usefulness of the proposed model is verified by Jackknife method.The study shows that the average prediction accuracy is 13.3%.