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

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.