%0 Journal Article
%T Retrieve the oceanic chlorophyll-a concentration in case I water by support vector machine<br>基于支持向量机的一类水域叶绿素a浓度反演研究
%A JIANG Gang
%A XIAO Jian
%A ZHENG Yong-kang
%A SONG Chang-lin
%A <br>蒋 刚
%A 肖 建
%A 郑永康
%A 等
%J 计算机应用
%D 2005
%I 
%X That chlorophyll-a is an important factor when estimating ocean's primitive productivity.The shortcomings of current methods used to retrieve chlorophyll-a concentration were analyzed.For the first time,least squares support vector machine based on statistic learning theory was used to do this work Experiments based on this method.SeaBAM data shows that using SVM method can receive the lowest error,avoid over fitting,and not need to design net-structure.SVM method has application value.It's a hopeful tool in this kind of researching area.
%K chlorophyll a
%K concentration retrieve
%K statistic learning theory
%K machine learning
%K Support Vector Machine(SVM)<br>叶绿素a
%K 浓度反演
%K 统计学习理论
%K 机器学习
%K 支持向量机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=B9DFDA843330627C&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=5660F24F46E4A7B7&eid=55161FEDEF8BABB8&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10