首页 | 本学科首页   官方微博 | 高级检索  
     

改进的模糊模式识别在金沙江径流特性分析中的应用
引用本文:辛芳芳,梁川.改进的模糊模式识别在金沙江径流特性分析中的应用[J].云南水力发电,2008,24(1):8-10.
作者姓名:辛芳芳  梁川
作者单位:四川大学水利水电学院,四川,成都,610065
基金项目:国家重点基础研究发展计划(973计划)
摘    要:以模糊c均值算法为基础,通过改进隶属度函数的方法,将金沙江小黄瓜园45年的月平均径流资料进行多维空间中聚类。在聚类基础上,采用基于模糊模式识别的分析方法,得出了该站径流系列的多维丰枯特性及其变化周期。其计算结果与实测径流资料对比,较为符合实际情况,表明该方法能够有效分析径流的周期特性。

关 键 词:模糊模式识别  模糊聚类  金沙江  径流特性
文章编号:1006-3951(2008)01-0008-02
修稿时间:2007年10月12

Application of Improved Fuzzy Pattern Recognition to Runoff Characteristic Analysis of the Jinsha River
XIN Fang-fang,LIANG Chuan.Application of Improved Fuzzy Pattern Recognition to Runoff Characteristic Analysis of the Jinsha River[J].Yunnan Water Power,2008,24(1):8-10.
Authors:XIN Fang-fang  LIANG Chuan
Affiliation:(College of Hydraulic Engineering, Sichuan University, Chengdu 610065, Sichuan, China)
Abstract:Multidimensional cluster was made for the 45 years' mean monthly runoff data acquired at Xiaohuangguayuan hydrological station on the Jinsha river by improving the membership function on the basis of the fuzzy c averaging method. The paper uses the fuzzy pattern recognitionbased analysis method to determine the multidimensional high and low water characteristics and their variation period of the runoff series at that hydrological station based on the cluster. Compared with the measured runoff data, the calculation results conform to reality, showing that the method can be used to make an effective analysis of runoff' s periodic characteristic.
Keywords:fuzzy pattern recognition  runoff characteristic  Jinsha River  fuzzy cluster
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号