水下目标自相关检测的一种神经网络方法研究  

Research on a Neural Network Method of Autocorrelation Detection of Underwater Object

作　　者：綦辉[1] 金鸿章[1] 

机构地区：[1]哈尔滨工程大学自动化学院

出　　处：《船舶工程》2005年第5期26-29,共4页Ship Engineering

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.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

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 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]