摘要
对干扰信号进行快速而有效的波形优化是实施多目标电子干扰的必要条件。由于干扰波形的约束条件复杂,变量的维数很多,现有的波形优化方法优化的效果不太理想。本文采用神经网络方法对干扰波形进行了分析和研究,提出了解决干扰波形优化问题的神经网络方法。
is the necessary condition of implementing multi-objective electronic interference to optimize the waveforms of the interferential signals rapidly and effectively. Because the constraint conditions of the interferential signals are complicated and the variable dimensions have many, the effect of the existing optimizing waveform methods isn＇t ideal. This article analyzes and studies the interferential waveform generally using the neural network method,and brings up the neural network method of dealing with the optimizing problems of the interferential waveform.
出处
《微计算机信息》
北大核心
2007年第34期305-307,共3页
Control & Automation
基金
总装预研基金资助课题(编号不公开)
关键词
干扰波形优化
神经网络
遗传算法
The optimization of interferential waveform,Neural network,Genetic algorithm
