关键词: 土壤分类 自组织特征映射 人工神经网络

Abstract:

The self-organizing feature mapping neural networks in ANN possess a strong clustering function. We apply the self-organizing feature mapping neural n etworks to soil classification by selecting seven factors related to soil classifition and building an ANN according to 19 samples. Finally we test the   classification results of 10 samples. The test results show the way is very effective and convenient. In the meantime, this paper analyses the results o f classification, and points out that SOFM can provide a rapid and accurate means for studying the soil classification system depending on its strong le arning function, excellent self-organizing feature, self-adapting feature and robustness.

Key words: classification of soil, SOFM, ANN