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中文摘要：
基于主成分回归和人工神经网络，提出了一种用于构建土壤转换函数的PCR—ANN组合预测方法，并将其与传统单一方法构建的PTFs进行了比较。结果袁明，基于PCR—ANN组合预测方法拘建的PTFs预测精度高于传统方法构建的PTFs。
英文摘要：
The combined method, based on the principal component regression （PCR） and artificial neural network （ANN）, was used to develop pedotransfer functions （PTFs）, and the PTFs developed by PCR- ANN and the traditional methods were compared. The results showed that that the precision of PTFs developed by PCR-ANN was higher than those developed by the traditional methods.
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