| 基于BPN的舰载指控系统信息融合研究 |
| |
| 引用本文： | 李守奇,刘文正.基于BPN的舰载指控系统信息融合研究[J].舰船电子工程,2009,29(11):7-10. |
| |
| 作者姓名： | 李守奇 刘文正 |
| |
| 作者单位： | 1. 海军兵种指挥学院,广州,510430
2. 海军大连舰艇学院,大连,116018 |
| |
| 摘 要： | 在研究舰载指控系统数据融合方法的基础上,根据神经网络的特点,建立了基于误差反向传播神经网络（BPN）的舰载指控系统信息融合模型。神经网络具有并行处理、容错性等特点,适合于多传感器的信息融合,将神经网络应用于舰载指控系统,能为指挥员提供更为精准、详细的战场综合态势,并有一定的预测功能,能更好地辅助指挥员进行指挥决策。
|
| 关 键 词： | 神经网络 BPN 信息融合 |
Warship Command and Control System Information Fusion Research Based on BPN |
| |
| Li Shouqi,Liu Wenzheng.Warship Command and Control System Information Fusion Research Based on BPN[J].Ship Electronic Engineering,2009,29(11):7-10. |
| |
| Authors: | Li Shouqi Liu Wenzheng |
| |
| Institution: | Li Shouqi1) Liu Wenzheng2)(Naval Arms Command Academy1),Guangzhou 510430)(Dalian Naval Academy2),Dalian 116018) |
| |
| Abstract: | On the basis of researching the method of warship command and control system data fusion,according to the neural network,founded warship command and control system information fusion model that based on BBN.Neural network takes on the features of parallel processing and fault-tolerance,applying to information fusion of multisensor.Applying neural network to warship command and control system,be able to supply exact and detailed battlefield synthetical situation,and definite predict function,can be better to... |
| |
| Keywords: | BPN |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
