草业学报2011，Vol.20Issue(1)：175-182,8.
基于SOFM网络法的天然草地分类
A method for classification of natural grassland quality based on SOFM
魏淑珍 1王菲凤 1张江山1
作者信息
- 1. 福建师范大学环境科学研究所,福建,福州,350007
- 折叠
摘要
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.关键词
SOFM/人工神经网络/天然草地/分类Key words
SOFM/ artificial neural network/ natural grasslands/ classification分类
农业科技引用本文复制引用
魏淑珍,王菲凤,张江山..基于SOFM网络法的天然草地分类[J].草业学报,2011,20(1):175-182,8.
