自适应网络模糊去噪与副高异常影响因子的诊断检测  

ANFIS Denoising and its Application in Diagnosing/Identifying the Influence Factors Leading WPSH Abnormality

作　　者：张韧[1] 罗坚[1] 周林[1] 袁志康[1] 董兆俊[1] 陈奕德[1] 

机构地区：[1]解放军理工大学气象学院,江苏南京211101

出　　处：《解放军理工大学学报（自然科学版）》2002年第6期74-79,共6页Journal of PLA University of Science and Technology(Natural Science Edition)

基　　金：高等学校骨干教师资助计划;国家自然科学基金资助项目 ( 499750 12 )

摘　　要：基于自适应网络模糊推理系统 ANFIS,讨论了从实际信号中检测识别系统的主要影响因子 ,进而滤除其干扰的方法途径 ,进行了相应的去噪试验 ;Based on the ANFIS(Adaptive Network based Fuzzy Inference System), a method and approach of identifying systemic chief influence factors from an actual signals and accordingly removing its interference was studied and discussed, the relevant denoising experiments were also carried out. As an application, based on appointed observational data, the process of identifying chief influence factors forcing on WPSH(West Pacific Subtropical High)was explored, and the chief effect of equatoral SST a inducing WPSH abnormality was diagnosed and identified.

关 键 词：模糊去噪 副高异常 影响因子 诊断检测 非线性动力系统 西太平洋 近赤道海温 天气气候系统 自适应网络模糊推理系统 

分 类 号：P732.2[天文地球—海洋科学]