|
|||||
|
|
| 基于自组织神经网络的声速剖面分类方法研究 | |
| 引用本文： | 赵建虎,周丰年,张红梅,王胜平.基于自组织神经网络的声速剖面分类方法研究[J].武汉大学学报(信息科学版),2007,32(2):164-167. |
| 作者姓名： | 赵建虎 周丰年 张红梅 王胜平 |
| 作者单位： | 1. 武汉大学测绘学院,武汉市珞喻路129号,430079 2. 武汉大学测绘学院,武汉市珞喻路129号,430079;长江水利委员会长江口水文水资源勘测局,太仓市浏河镇,215431 3. 武汉大学动力与机械学院,武汉市东湖南路8号,430072 |
| 基金项目： | 山东省基础地理信息与数学化技术重点实验室开放基金 |
| 摘 要： | 利用自组织神经网络技术，结合声速剖面特点，研究了声速剖面的描述方法、网络中神经元个数的确定、获胜神经元的邻域及其邻域内神经元的拓扑关系等对网络结构和声速剖面类别划分的影响，给出了分类声速剖面的网络构造思想和神经网络结构。实验验证了该方法的正确性。 |
| 关 键 词： | 声速剖面 自组织特征神经网络 声速剖面分类 |
| 文章编号： | 1671-8860(2007)02-0164-04 |
| 修稿时间： | 2006年12月15 |
Classification of Sound Speed Profile with SOFM Neuron Network |
|
| ZHAO Jianhu,ZHOU Fengnian,ZHANG Hongmei,WANG Shengping.Classification of Sound Speed Profile with SOFM Neuron Network[J].Geomatics and Information Science of Wuhan University,2007,32(2):164-167. | |
| Authors: | ZHAO Jianhu ZHOU Fengnian ZHANG Hongmei WANG Shengping |
| Abstract: | It is very important to classify sound speed profile for analyzing and understanding its variation.In order to eliminate the artificial effect in the classification,self-organization manage feature(SOMF) neuron network is introduced into the work.For the efficient appli-cation of SOMF in the classification,integrated with character of sound speed profile,the expression ways of sound speed profile,the determination of neuron cell number,and the definition of adjacent area neuron cell and the construction of the network in the network are studied.By trainings and experiments of the network,the effect of training times for the frame and performance of the network are analyzed and discussed.Finally,a SOMF network is built which is used for classifying 3 teams sound speed profiles.The results are compared with the results obtained by custom method and proved to be right and credible. |
| Keywords: | sound speed profile(SSP) self-organization feature map(SOFM) neuron net-work SSP classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |