Artificial Neural Network Model in Spatial Analysis of Geographic Information System
文献类型：期刊论文
| 作者 | He, Shaofu3; Li, Fei1,2 |
| 刊名 | MOBILE INFORMATION SYSTEMS
 |
| 出版日期 | 2021-10-15 |
| 卷号 | 2021页码:12 |
| ISSN号 | 1574-017X |
| DOI | 10.1155/2021/1166877 |
| 通讯作者 | Li, Fei(lifeicas@126.com) |
| 英文摘要 | In the past two decades, the computer technology industry has developed rapidly, and the geological prospecting industry is also undergoing a computerized and electronic revolution. The application technology of new geological information systems is gradually adding us to the spatial information system of geological prospecting projects. In order to deeply study the current situation of the artificial neural network model in the spatial analysis of our country's geographic information system, this paper uses the traditional classification analysis method; database analysis and neural network analysis method of compensating samples were collected, an artificial model of the network is established, and the algorithm is simplified. And a neural network model is created. In the research of A and B counties' geographic information system, using a new network model, 61 geological disasters were found in County A, of which 47 were landslides, 4 collapses, and 10 unstable slopes. There were 19 geographical disasters in County B, including 9 unstable slopes, 6 landslides and 4 collapses. In terms of geographic prediction combined with the network model, the comparison with the actual situation shows that the geographical distribution is 99.7% in the geographical and geological disaster-prone areas, and the geographical distribution is less in the nonprone areas, with a proportion of 0.3%. Geological disaster-prone areas of low points accounted for 76.9%, and the number of disaster-affected points in the low-prone areas accounted for 22.8%. The geographical and geological grades divided by the evaluation model are basically consistent with the actual grades, which can meet the needs of geographic evaluation. It is basically realized that starting from the model's geographic information system, a more comprehensive and practical artificial neural network model is designed. |
| 资助项目 | Key Research Program of the Innovation Academy for Green Manufacture, Chinese Academy of Sciences[IAGM-2019-A16] ; National Social Science Foundation of China[18VDL010] ; Alliance of International Science Organizations[ANSO-CR-KP-2020-02] |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000741733000002 |
| 出版者 | HINDAWI LTD |
| 资助机构 | Key Research Program of the Innovation Academy for Green Manufacture, Chinese Academy of Sciences ; National Social Science Foundation of China ; Alliance of International Science Organizations |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/169560]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Fei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Minnan Normal Univ, Zhangzhou 363000, Fujian, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Shaofu,Li, Fei. Artificial Neural Network Model in Spatial Analysis of Geographic Information System[J]. MOBILE INFORMATION SYSTEMS,2021,2021:12. |
| APA | He, Shaofu,&Li, Fei.(2021).Artificial Neural Network Model in Spatial Analysis of Geographic Information System.MOBILE INFORMATION SYSTEMS,2021,12. |
| MLA | He, Shaofu,et al."Artificial Neural Network Model in Spatial Analysis of Geographic Information System".MOBILE INFORMATION SYSTEMS 2021(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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