| 动态数据驱动的林火蔓延模型适宜性选择 |
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| 引用本文： | 杨广斌,刘鹏举,唐小明.动态数据驱动的林火蔓延模型适宜性选择[J].林业科学,2011,47(1). |
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| 作者姓名： | 杨广斌 刘鹏举 唐小明 |
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| 作者单位： | 1. 贵州师范大学地理与环境科学学院,贵阳,5500011;中国林业科学研究院资源信息研究所,北京,100091
2. 中国林业科学研究院资源信息研究所,北京,100091 |
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| 基金项目： | 863国家高新技术项目，教育部科学技术研究重点项目 |
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| 摘 要： | 基于BP人工神经网络方法设计林火模型适宜性选择技术框架结构,通过神经网络形成林火模型选择知识,实现林火模型的自动化和智能化选择;以火场环境因子为输入变量,以适宜火场环境模拟的林火蔓延模型作为输出变量,构建林火模型选择神经网络模型;研究输入、输出因子数据的获取与计算方式,实现动态数据驱动的林火模型自动选择机制.以北京市为例,选择有详细火场情况记录的72场林火作为试验样本,其中60条记录作为学习样本集,12条记录作为验证样本,对神经网络进行学习和验证,结果表明:模型选择精度可达到80%以上.
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| 关 键 词： | 模型选择 人工神经网络 林火蔓延模拟 |
Application of Automatic Selection System of Forest Fire Spread Models Driven by Dynamic Data |
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| Yang Guangbin,Liu Pengju,Tang Xiaoming.Application of Automatic Selection System of Forest Fire Spread Models Driven by Dynamic Data[J].Scientia Silvae Sinicae,2011,47(1). |
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| Authors: | Yang Guangbin Liu Pengju Tang Xiaoming |
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| Institution: | Yang Guangbin1,2 Liu Pengju2 Tang Xiaoming2 (1.School of Geography and Environment Sciences,Guizhou Normal University Guiyang 550001,2.Institute of Forest Resource Information Techniques,CAF Beijing 100091) |
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| Abstract: | Dynamic data driven application system can improve simulation performance and accuracy by collecting and incorporating dynamic data from fire area.Based on BP artificial neural network,a frame construction of forest fire model selection of suitability was designed.Forest fire model selection knowledge was produced through BP artificial neural network.The system implemented automatic and intelligent selection of forest fire models.BP artificial neural network model of forest fire model selection was build by... |
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| Keywords: | model selection BP artificial neural network forest fire spread simulation |
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