基于SVM的区域土地资源生态安全评价研究

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

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。

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.