%0 Journal Article
%T SEA LEVEL VARIATION ANALYSIS WITH RBF NEURAL NETWORK BASED EMD METHOD<br>基于RBF 神经网络的EMD 方法在海平面分析中的应用
%A GU Xiao-Li
%A LI Pei-Liang
%A TAN Hai-Tao
%A ZHANG Ting-Ting
%A LI Lei
%A WANG Xue-Zhu
%A YU Yi-Fa
%A <br>顾小丽
%A 李培良
%A 谭海涛
%A 张婷婷
%A 李 磊
%A 王雪竹
%A 于宜法
%J 海洋与湖沼
%D 2009
%I 
%X A new empirical mode decomposition(EMD) method was developed based on radial basic function(RBF) neural network and applied to analyze sea level variability.A temporal signal series is extended with the network before a new round of EMD starts.The result of analysis with the new method agrees better with the result of 5 year running mean than that using traditional EMD.The new method decomposes a series of sea level temporal signal into a set of intrinsic mode functions representing the periodic components ...
%K EMD
%K Radial Basic Function
%K IMF
%K Sea level variations<br>EMD
%K 径向基函数
%K IMF分量
%K 海平面变化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=2D9C75573FA3E416&jid=10F18692CD69EACA2DF7FC109993D35C&aid=987DCBB134EA36C0ED9C198224715783&yid=DE12191FBD62783C&vid=1371F55DA51B6E64&iid=94C357A881DFC066&sid=640CCB6E396307A8&eid=92DA076AF6760FAC&journal_id=0029-814X&journal_name=海洋与湖沼&referenced_num=1&reference_num=22