Eco-environment Vulnerabiltiy Assessment Based on SOM-Ward ANN Clustering Methods

被引：0

作者：

Qi, Wei ^{[1
]}

Wang, Wei ^{[1
]}

Chen, Nengcheng ^{[1
]}

机构：

[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL IX | 2010年

关键词：

eco-environment; vulnerabiltiy assessment; unsupervised artificial neural network; Self-organizaing map (SOM); Ward's clustering;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposed a new unsupervised artificial neural network i.e. the SOM-Ward clustering method for conducting eco-environment vulnerabiltiy assessment. Through the clustering results on Fildes Peninsula we summarize the characteristics of the eco-environment vulnerability of the Antarctic ice-free areas and verify the practicability and reliability of the SOM-Ward model.

引用

页码：69 / 72

页数：4

共 10 条

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