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.

 
  • 為確切判定淮北礦區新第三紀沉積物成因類(lèi)型;分別用自組織人工神經(jīng)網(wǎng)絡(luò )(SOM)和聚類(lèi)分析方法對宿南等礦區的19組樣本進(jìn)行分類(lèi).
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