印度洋水声环境特征自组织网络区划分型  

Division of Underwater Acoustic Environment Character in the Indian Ocean Based on Self-organizing Map

作　　者：王彦磊[1] 张韧[1] 杨波[2] 刘科峰[1] 余鹏[1] 

机构地区：[1]解放军理工大学气象学院,江苏南京211101 [2]总参气象水文中心,北京100081

出　　处：《海洋预报》2008年第2期84-91,共8页Marine Forecasts

基　　金：中国博士后科学基金(No.2004036012);江苏省博士后科研资助计划(0401068B)

摘　　要：利用WOA05世界大洋数据集,1°×1°分辨率、标准分层的气候态平均温、盐场资料,提取一组表征印度洋海域水下声场环境的特征指标。借助一组聚类结果评估函数,确定最佳区划分型数目,利用自组织特征映射网络(SOFM)可以保持拓扑结构不变的特点,对西太平洋海域水下环境进行区划分型。分类区划结果对该海域的声场背景分析和声纳探测具有参考应用意义。Basing on temperature-salinity data of the world oceans data sets （WOA05） possessed of one degree resolution and the standard layer, a group of character indicators were distilled from underwater acoustic enviroriment of the Indian Ocean. The optimal number of clusters was determined by a group of function assessing the results clustering. Underwater acoustic environment of the Indian Ocean was divided using self-organizing feature map. Classification Division results have practical significance for underwater acoustic field analysis and sonar detection.

关 键 词：自组织网络:水声场环境 分类区划 

分 类 号：P731[天文地球—海洋科学]