| 基于模糊优选神经网络与GIS结合的流域面雨量预测方法 |
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| 引用本文： | 陈守煜,李庆国,李敏.基于模糊优选神经网络与GIS结合的流域面雨量预测方法[J].北京工业大学学报,2009,35(2). |
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| 作者姓名： | 陈守煜 李庆国 李敏 |
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| 作者单位： | 1. 大连理工大学,土木水利学院,大连,116024
2. 大连理工大学,土木水利学院,大连,116024;济南大学,城市发展学院,济南,250022 |
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| 基金项目： | 国家自然科学基金，水利部科技创新基金 |
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| 摘 要： | 提出了一种模糊优选神经网络模型与地理信息系统(GIS)相结合的流域面雨量预测方法.利用GIS软件对流域点雨量进行了空间分析,作为模糊优选神经网络的期望输出对网络进行训练,从而在流域面雨量与各站点观测雨量之间建立映射关系.新的点雨量观测数据输入训练好的网络,即可快捷得到本次降雨流域面雨量.
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| 关 键 词： | 模糊优选神经网络 地理信息系统 流域面雨量预测 |
An Areal Rainfall Forecasting Method Based on Fuzzy Optimum Neural Network and Geography Information System |
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| CHEN Shou-yu,LI Qing-guo,LI Min.An Areal Rainfall Forecasting Method Based on Fuzzy Optimum Neural Network and Geography Information System[J].Journal of Beijing Polytechnic University,2009,35(2). |
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| Authors: | CHEN Shou-yu LI Qing-guo LI Min |
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| Abstract: | A good areal rainfall calculation means we can forecast flood more accurately and in time.Here,we propose an areal rainfall forecasting methodology integrated fuzzy optimized neural network with Geography Information System(GIS)methods.GIS has advantage of process spatial information.Using many models and methods provided by GIS software,we obtain more accurate areal rainfalls of a catchment.Then,these outputs of the GIS software are taken as the expected output of the fuzzy optimized neural network,and the... |
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| Keywords: | fuzzy optimal neural network geography information system areal rainfallforecast |
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