摘要
主要分析遗传算法和BP神经网络的特点和存在的一些缺陷,研究遗传算法和改进型的BP算法相结合的相关技术,设计并实现一个基于遗传算法和LMBP算法相结合的GA-LMBP算法。通过诊断实例,比较三种算法的模拟电路故障诊断,结果证明在相同精确度的要求下,基于GA-LMBP的算法可以大大提高模拟电路故障诊断准确率。
The characteristics and defects of genetic algorithm and BP neural network are analysed,the related technology on the genetic algorithm and the improved BP algorithm are researched, GA - LMBP based on genetic algorithm and Levenberg - Marquardt BP is designed and implemented. It＇s shown by an example analog circuit that the algorithm based on GA -LMBP can improve the accuracy of analog circuit fault diagnosis under the same precision request.
出处
《现代电子技术》
2010年第4期177-179,189,共4页
Modern Electronics Technique
关键词
遗传算法
神经网络
模拟电路
故障诊断
genetic algorithm
neural network
analog circuit
fault diagnosis
