摘要
将一种改进了的神经网络联想记忆模型应用于雷达伺服分系统的ＢＩＴ设计中，取得了比较满意的效果。通过样本向量的ＨＡＤＡＭＡＲＤ预处理、存贮记忆后，可据此模型实现样本和非样本的并行联想回忆，实现ＢＩＴ功能。仿真结果表明，这种新颖策略是切实可行的，并且具有很大的推广应用价值。
A new model of neural network associative memory is introduced into the BIT design of radar servo sub-system,which achieves satisfactory effect.Firstly,the fault sample vectors are preprocessed by HADAMARD transform,and then memoried.We can realize the parallel associative recall of samples and non-samples based on this model.The simulation results demonstrate that the novel strategy is reliable and has greatly useful value.
出处
《现代雷达》
CSCD
1994年第1期89-95,20,共8页
Modern Radar
关键词
神经网络
联想记忆
雷达伺服系统
neural network,associative memory,radar,servo,Build-In-Test(BIT).
