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模糊化的Modular模糊神经网络降水预报模型研究
引用本文:黄颖,金龙,主毅.模糊化的Modular模糊神经网络降水预报模型研究[J].计算机工程与设计,2008,29(18).
作者姓名:黄颖  金龙  主毅
作者单位:1. 广西师范大学,数学科学学院,广西,桂林,541004
2. 广西气象减灾研究所,广西,南宁,530022
3. 贵州六盘水市气象局,贵州,六盘水,553001
基金项目:科技部社会公益性研究专项基金
摘    要:以广西西南部前汛期5、6月25个气象站平均逐日降水量作为预报对象,采用自然正交分解方法和模糊化方法对输入因子预处理后,结合Modular模糊神经网络建立了一种新的降水预报模型,并进行了逐日业务预报应用试验.结果表明,该降水预报模型比常规Modular模糊神经网络方法及逐步回归方法有更高的预报精度,具有较好的业务应用前景.

关 键 词:模糊化  模块化模糊神经网络  自然正交展开  逐日降水量  预报建模

Rainfall forecast model of modular fuzzy neural network based on fuzzification
HUANG Ying,JIN Long,ZHU Yi.Rainfall forecast model of modular fuzzy neural network based on fuzzification[J].Computer Engineering and Design,2008,29(18).
Authors:HUANG Ying  JIN Long  ZHU Yi
Affiliation:HUANG Ying1,JIN Long2,ZHU Yi3(1.College of mathematics,Guangxi Normal University,Guilin 541004,China,2.Guangxi Research Institute of Meteorological Disasters Mitigation,Nanning 530022,3.Liupanshui Meteorological Bureau in Guizhou,Liupanshui 553001,China)
Abstract:A new forecast model of precipitation is exemplified by use of modular fuzzy neural network to daily forecasts of 25 weather stations'average precipitation of southwest Guangxi in May and June.The 25 weather stations'rainfull forecast model is established based on the pretreatment of input factors by empirical orthogonal function and fuzzification approach.Daily operational forecast trial of the new model is made.The results show that the new forecast model is superior in prediction accuracy to the general ...
Keywords:fuzzification  modular fuzzy neural network  empirical orthogonal function  daily precipitation  forecast model  
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