|
|||||
|
|
| 水下目标自相关检测的一种神经网络方法研究 | |
| 引用本文： | 綦辉 金鸿章. 水下目标自相关检测的一种神经网络方法研究[J]. 船舶工程, 2005, 27(5): 26-29 |
| 作者姓名： | 綦辉 金鸿章 |
| 作者单位： | [1]哈尔滨工程大学自动化学院,哈尔滨150001 [2]海军潜艇学院,青岛266071 |
| 摘 要： | 用权重神经网络知识推理的方法研究水下目标自相关检测．首次总结了水下单传感器目标自相关检测的相关知识，提出了用权重神经网络表示这些知识，用简单的数值计算进行推理的方法，得出了相应检测结果． |
| 关 键 词： | 信息处理技术 水下目标 信息融合 自相关检测 神经网络 |
| 文章编号： | 1000-6982(2005)05-0026-04 |
| 收稿时间： | 2004-12-16 |
| 修稿时间： | 2005-03-14 |
Research on a Neural Network Method of Autocorrelation Detection of Underwater Object |
|
| QI Hui,JIN Hong-zhang. Research on a Neural Network Method of Autocorrelation Detection of Underwater Object[J]. Ship Engineering, 2005, 27(5): 26-29 | |
| Authors: | QI Hui JIN Hong-zhang |
| Affiliation: | 1 .School of Automation, Harbin Engineering University, Harbin 150001, China; 2.Navy Submarine Academy, Qingdao 266071, China |
| Abstract: | In this paper, a method of weight neural network knowledge reason is explored in underwater object autocorrelation detection. The knowledge of object autocorrelation detection with single sensor under water is first summarized. Then, the representations of such knowledge by weight neural network and the method of reasoning by simple numerical calculations are put forward. Furthermore, the detection results are concluded through simple calculations |
| Keywords: | information processing technique underwater object information fusion autocorrelation detection Neural Network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《船舶工程》浏览原始摘要信息 | |
| 点击此处可从《船舶工程》下载全文 | |