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基于遗传神经网的沙尘暴预测模型的研究
引用本文:路志英,杨玉峰,赵智超,庞勇,刘还珠.基于遗传神经网的沙尘暴预测模型的研究[J].计算机工程与应用,2005,41(33):220-222.
作者姓名:路志英  杨玉峰  赵智超  庞勇  刘还珠
作者单位:天津大学电气与自动化工程学院,天津,300072;国家气象中心,北京,100081
摘    要:神经网络结构和学习算法在很大程度影响模型建立的时间和预测结果的准确性,论文针对现有BP神经网络的缺陷,提出了基于遗传算法的神经网络预测模型,并利用该模型研究了沙尘暴的预测问题。仿真预测研究表明,提出的方法无论是收敛速度方面还是预报准确率方面,都取得了比较满意的结果。

关 键 词:遗传算法  神经网络  沙尘暴预报
文章编号:1002-8331-(2005)33-0220-03
收稿时间:2005-03
修稿时间:2005-03

The Study of the Sand-bust Storm Forecasting Model Based on GA-neural Network
Lu Zhiying,Yang Yufeng,Zhao Zhichao,Pang Yong,Liu Huanzhu.The Study of the Sand-bust Storm Forecasting Model Based on GA-neural Network[J].Computer Engineering and Applications,2005,41(33):220-222.
Authors:Lu Zhiying  Yang Yufeng  Zhao Zhichao  Pang Yong  Liu Huanzhu
Affiliation:1.Sehool of Electrical Engineering and Automation,Tianjin University,Tianjin 300072; 2.National Meterorologieal Center, Beijing 100081
Abstract:The original structure of the network and the learning algorithm may lead to significant impact in the training duration and veracity of the forecasting result.To improve it,a novel design of artificial neural network based on genetic algorithm for sand-dust storm forecasting is proposed in this paper.Some practices proves that this model can perform better than the traditional neural network.
Keywords:genetic algorithm  artificial neural network  sand-dust storm forecast
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