| 多年平均气温空间化BP神经网络模型的模拟分析 |
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| 引用本文： | 张赛,廖顺宝.多年平均气温空间化BP神经网络模型的模拟分析[J].地球信息科学,2011,13(4):534-538. |
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| 作者姓名： | 张赛 廖顺宝 |
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| 作者单位： | 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院研究生院; |
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| 基金项目： | 中科院“十一五”信息化专项——人地系统主题数据库建设与服务(INF0-115-C01-SDB3-02); 资源与环境信息系统国家重点实验室自主研究课题——地球科学数据质量评价研究(088RA106SA) |
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| 摘 要： | 气温数据空间化是插补无站地区温度、使气温数据便于综合分析的重要技术手段.理想情况下,气温的空间化分布受经度、纬度和海拔高度的影响,呈现规律性的空间分布态势.但是,各种微观因子如坡度、坡向、地形起伏、地表覆被等的存在,在一定程度上扰乱并弱化了这种规律性的分布态势.本文基于Matlab平台,利用BP神经网络研究了多年平均气...
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| 关 键 词： | 多年平均气温 空间化 ANN BP神经网络 |
| 收稿时间： | 2010-02-19; |
Simulation and Analysis of Spatialization of Mean Annual Air Temperature Based on BP Neural Network |
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| ZHANG Sai,LIAO Shunbao.Simulation and Analysis of Spatialization of Mean Annual Air Temperature Based on BP Neural Network[J].Geo-information Science,2011,13(4):534-538. |
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| Authors: | ZHANG Sai LIAO Shunbao |
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| Institution: | ZHANG Sai1,2,LIAO Shunbao1 (1.State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China,2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China) |
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| Abstract: | Air temperature is one of the main influential factors of ecosystem.Ideally,air temperature is mainly affected by longitude,latitude,altitude and the distance from the ocean,so its spatial distribution should show a regular tendency.However,to some extent,the existence of various microcosmic topographical factors(such as slope,aspect,topographic relief,terrain shade land cover,etc.) disturbs its fundamental distribution tendency,even strongly in certain areas,and thus complicates the research and estimation... |
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| Keywords: | mean annual air temperature spatialization ANN BP neural network |
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