中文摘要：

基于Bayes判别分析法建立沉积环境判别与分类的Bayes判别分析模型.模型选用粒度的平均粒径、标准偏差、偏差以及峰值4个指标作为判别因子,并以训练样本建立Bayes判别函数,以该函数计算待判样品的Bayes判别函数值,以最大值对应的总体作为样品的归属,以刀切法对判别准则进行评价.研究表明,所建模型以刀切法计算的准确率为80%.

英文摘要：

Sedimentary environment discriminant and classified Bayes discriminant model were established based on Bayesian discriminant analysis.The model chose four indexes as discrimainat factors,including average grain diameter,standard deviation,deviation,peak value of the granularity and used training a set of samples to obtain Bayes discriminant functions and then to calculate the Bayes function values of the samples which were waiting to be discrimated.The maximal function value was used to judge which population the sample belongs to.Jackknife method was utilized to verify the discrimant rules.The study shows that the probability of accurateness by Jackknife method is 80%.