GA-BP神经网络在伺服系统辨识中的应用OACSTPCD
Identification of Servo System Based on GA-BP ANN
针对BP算法在系统辨识应用中的不足,提出了一种基于遗传算法(GA)的BP神经网络建模方法.该算法充分利用了遗传算法和BP算法各自的优点.采用该算法完成了具有复杂非线性的某伺服系统的建模工作.实验结果表明了该算法的有效性.
For the shortage of BP neural network algorithm in identification of Servo System, this paper introduces a method for identifica tion based on GA-BP. The algorithm has full advantages of genetic algorithm and BP algorithm. The method is used to settle the modeling problem of the Servo System with complex non-linear characteristics. The experimental results show that this method is effective.
李昕奇;金勇
南京理工大学机械工程学院,江苏南京210094总装工程兵驻武汉军事代表室,湖北武汉430073
信息技术与安全科学
遗传算法BP伺服系统辨识
GA BP servo system identification
《机械制造与自动化》 2012 (1)
90-92,3
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