摘要
利用人工神经网络将舰船磁场的三个分量进行序贯融合处理 ,从而进行对舰船关键部位的精确识别 ,给出了处理方法及检验结果 ,并分析了提高网络推广性能的措施。
This paper provides a method to identificate accurately a ship's important parts by fusing the three components of a ship's magnetic field with an artificial neural network. The paper gives the processing method and verification results, and analyses the approaches to improve the networks' generalization capability.
出处
《系统工程与电子技术》
EI
CSCD
2000年第2期41-42,,46,,共3页
Systems Engineering and Electronics
基金
国防科工委基金资助课题
关键词
舰船磁场
目标识别
部位识别
神经网络
Nverous system\ \ Network structure\ \ Magnetic field\ \ Target identification\ \ Ship
