山地土地利用方向的自组织学习联想神经树判别

A STUDY ON DIFFERENTIATING OF LAND USE DIRECTION IN MOUNTAINS REGION APPLYING NEURAL TREE MODEL OF LEARNING AND ASSOCIATION BY SELF-ORGANIZATION

以福建省南平市东坑乡山地土地利用样本作为研究对象 ,将土地利用方向划分为 5种类型 ,提出运用自组织学习联想神经树判别山地土地利用方向 ,学习样本正确判别率很高。根据建立的自组织学习联想神经树模型对山地土地利用方向进行了逐一评价 ,评价结果与实际基本一致。研究表明 ,该方法性能良好 。

A group of land use samples in mountains region in Dongkeng town of Nanping City of Fujian province were collected as an object of srudy, in which the land use directions were divided into five types. And the neural tree nodel of learning and association by self_organization for differentiating land use in mountains region was applied in this paper, learning results showed that the learning differentiating precision was higer. Based on the established neural tree model of learning and association by self_organization, the land use direction of each land in mountains region was evaluated, the evaluated results were identical with the practical ones. It is showed that the performance of the meural tree approach is good ,and therefore it might be referred to as an effective assistant technique for study on differentiating land use.