摘要
基于模糊系统理论，讨论了从实测信号中滤除特定干扰噪音的途径和过程，研究了从观测资料中辩识El Nino／La Nina主要影响因子的诊断检测方法。结果表明，由于模糊系统具有非线性、容错性和自适应学习等特性，因此能够比较有效地辨认和检测出El Nino／La Nina事件的主要影响因子，并大致分析出它们对不同El Nino／La Nina事件的影响程度和贡献大小。
Based on the fuzzy theory, the route and process of wiping off appointed noisesfrorn actual signals are discussed, the diagnosis examination methods of identifying thechief influence factors from the measured data sets are studied. Research results showthat because of the non--linear, tolerance--error and self--adaptable of fuzzy system, by u-sing fuzzy method,we can easily and effectively identify and check the main factors pro-ducing and influencing E1 Nino/La Nina, and approximately analyses their influence onand contribution to El Nino/La Nina.
出处
《热带海洋学报》
CAS
CSCD
北大核心
2001年第2期8-14,共7页
Journal of Tropical Oceanography
基金
教育部骨干教师基金及空司气象局资助(司气字第45号)
