| 山地土地利用方向的自组织学习联想神经树判别 |
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| 引用本文： | 洪伟,吴承祯.山地土地利用方向的自组织学习联想神经树判别[J].山地学报,2000,18(6):554-558. |
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| 作者姓名： | 洪伟 吴承祯 |
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| 作者单位： | 福建林学院，福建南平 353001 |
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| 基金项目： | 福建省自然科学基金资助项目(F991)。 |
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| 摘 要： | 以福建省南平市东坑乡山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利用方向进行了逐一评价，评价结构与基本一致，研究表明，该方程性能良好，可望成为山地土地利用方向判别的有效方法。
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| 关 键 词： | 土地利用 山地 自组织学习联想神经树 福建省 |
| 文章编号： | 1008-2786(2000)06-0554-05 |
| 修稿时间： | 1999年2月15日 |
A STUDY ON DIFFERENTIATING OF LAND USE DIRECTION IN MOUNTAINS REGION APPLYING NEURAL TREE MODEL OF LEARNING AND ASSOCIATION BY SELF-ORGANIZATION |
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| HONG Wei,WU Cheng-Zhen.A STUDY ON DIFFERENTIATING OF LAND USE DIRECTION IN MOUNTAINS REGION APPLYING NEURAL TREE MODEL OF LEARNING AND ASSOCIATION BY SELF-ORGANIZATION[J].Journal of Mountain Research,2000,18(6):554-558. |
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| Authors: | HONG Wei WU Cheng-Zhen |
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| Abstract: | 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. |
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| Keywords: | Land use mountains region neural tree model of learning and associatinon by self-organization |
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