Both SOM(Self-Organizing Mapping) network and hierarchical clustering(HC) methods were tried to classify 19 soil samples from Sunan mining district and near regions for the Neocene sediment type recognition in Huaibei coalfield.

• 为确切判定淮北矿区新第三纪沉积物成因类型；分别用自组织人工神经网络(SOM)和聚类分析方法对宿南等矿区的19组样本进行分类.