| 基于人工神经网络模型的喀斯特地区枯水资源承载力评价——以贵阳市为例 |
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| 引用本文： | 杨秀英,梁虹.基于人工神经网络模型的喀斯特地区枯水资源承载力评价——以贵阳市为例[J].贵州师范大学学报(自然科学版),2006,24(4):37-41. |
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| 作者姓名： | 杨秀英 梁虹 |
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| 作者单位： | 贵州师范大学,地理与生物科学学院,贵州,贵阳,550001 |
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| 基金项目： | 贵州省优秀青年科技人才培养计划
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贵州省优秀科技教育人才省长基金 |
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| 摘 要： | 枯水资源是关系喀斯特地区经济、社会和生态环境和谐发展的重要资源和环境因素.创建了喀斯特地区枯水资源评价指标体系;针对水资源系统自身的不确定性、模糊性以及其他评价方法存在的问题,将人工神经网络模型中的BP网络模型用于喀斯特地区枯水资源承载力的评价中,并以贵阳市为实例进行了评价.评价结果与实际较为吻合,BP网络模型是喀斯特地区枯水资源承载力评价方法的一种新探索.
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| 关 键 词： | 喀斯特地区 枯水资源承载力 人工神经网络模型 |
| 文章编号： | 1004-5570（2006）04-0037-05 |
| 收稿时间： | 2006-08-04 |
| 修稿时间： | 2006年8月4日 |
The evaluation on the low-flow resource carrying capacity in karst area based on artificial neural network model——A case study in Guiyang City |
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| YANG Xiu-ying,LIANG Hong.The evaluation on the low-flow resource carrying capacity in karst area based on artificial neural network model——A case study in Guiyang City[J].Journal of Guizhou Normal University(Natural Sciences),2006,24(4):37-41. |
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| Authors: | YANG Xiu-ying LIANG Hong |
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| Institution: | School of Geography and Biology, Guizhou Normal University, Guiyang, Guizhou 550001, China |
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| Abstract: | The low-flow resource is a kind of factor of vital natural resource and environment, and plays an important role in keeping the economy, society and entironment harmonious in karst area. This paper establishes an evaluation index system of the low-flow resource carrying capacity in karst area. Whereas the uncertainty and illegibility of water resource system, and the problems of existing methods, the paper uses BP network model, a kind of the artificial neural network model, to evaluate the low-flow resource carrying capacity in karst area. Taking Guiyang city as an example, it shows that the results are close to the facts. BP network model is a new method for evaluating the water resource carrying capacity in karst area. |
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| Keywords: | karst area low-flow resource carrying capacity artificial neural network model |
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