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| 基于GIS和ANN技术的矿区复垦土地适宜性评价 | |
| 引用本文： | 陈秋计,赵长胜,谢宏全.基于GIS和ANN技术的矿区复垦土地适宜性评价[J].金属矿山,2004(3):52-55,61. |
| 作者姓名： | 陈秋计 赵长胜 谢宏全 |
| 作者单位： | 1. 中国矿业大学(北京校区) 2. 徐州师范大学 3. 河北理工大学 |
| 摘 要： | 提出了在地理信息系统(GIS)和人工神经网络(ANN)技术支持下，对矿区复垦土地的适宜性进行评价的一种新方法。阐述了复垦土地适宜性评价的原则及目前的发展现状，并提出了新方法的技术路线。最后结合某一复垦区，基于GIS平台，利用模糊技术和BP模型，对复垦为农业用地的适宜性进行了评价。 |
| 关 键 词： | GIS 人工神经网络 ANN 地理信息系统 复垦 |
On GIS and ANN-based Assessment of Suitability of Reclamation Land in Mining Area |
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| Chen Qiuji.On GIS and ANN-based Assessment of Suitability of Reclamation Land in Mining Area[J].Metal Mine,2004(3):52-55,61. | |
| Authors: | Chen Qiuji |
| Affiliation: | Chen Qiuji(China University of Mining and Technology) Zhao Changsheng(Xuzhou Normal University ) Xie Hongquan(Hebei Institute of Technology) |
| Abstract: | A new assessment method for the suitability of reclamation land in mining area which is based on geographic information system (GIS) and artificial neural network (ANN) is proposed. The principles of this assessment and its development status are described and the technical route of the new method is given. Finally, the method is used to assess the suitability of an area to be reclaimed for agricultural use using fuzzy technology, BP model and GIS. |
| Keywords: | GIS Artificial neural network Reclamation land Suitability assessment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |