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Acta Prataculturae Sinica ›› 2011, Vol. 20 ›› Issue (1): 175-182.

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A method for classification of natural grassland quality based on SOFM

WEI Shu-zhen, WANG Fei-feng, ZHANG Jiang-shan   

  1. Institute of Environmental Science, Fujian Normal University, Fuzhou 350007, China
  • Revised:2010-04-21 Online:2011-02-22 Published:2011-02-22

Abstract: The self-organizing feature maps (SOFM) neural network was first applied to classification of the data from 31 natural grasslands in Sinkiang, China. The result was compared with that from set pair analysis, grey relational analysis and projection pursuit methods. Comparable results were consistent and the SOFM network reflected the complicated information between all samples. The classification effect was good and it could be widely applied to clustering analysis.

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