计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (10): 245-248.DOI: 10.3778/j.issn.1002-8331.2009.10.073

• 工程与应用 • 上一篇    

基于SVM的区域土地资源生态安全评价研究

张志勇,刘希玉   

  1. 山东师范大学 管理与经济学院,济南 250014
  • 收稿日期:2008-04-10 修回日期:2008-07-10 出版日期:2009-04-01 发布日期:2009-04-01
  • 通讯作者: 张志勇

Research on land resource eco-security assessment based on Support Vector Machines

ZHANG Zhi-yong,LIU Xi-yu   

  1. Department of Management and Economics,Shandong Normal University,Jinan 250014,China
  • Received:2008-04-10 Revised:2008-07-10 Online:2009-04-01 Published:2009-04-01
  • Contact: ZHANG Zhi-yong

摘要: 支持向量机是在统计学习理论基础上发展起来的一种新的机器学习方法,由于其出色的学习性能,该技术已成为国际机器学习领域新的研究热点。介绍了支持向量机算法的原理,建立了基于支持向量机的区域土地资源生态安全评价的综合评判模型。实验结果表明,采用支持向量机对区域土地资源进行生态安全评价是可行的。

关键词: 生态安全, 土地资源, 支持向量机, 多分类

Abstract: Support vector machine is a new machine learning technique developed on statistical learning theory.Because of its excellent learning performance,this technology has become the new research hotspot in the field of international machine learning.In this paper,the principle of support vector machine is introduced,and an integrated assessment model for regional land resource eco-security is established based on it.Test result indicates that it is feasible to apply support vector machine to assess the level of regional land resource eco-security.

Key words: eco-security, land resource, support vector machine, multi-classification