BP神经网络在信号发生器中的应用  

The Application of BP Neural Networks on The Signal Genaerator

作　　者：徐明哲[1] 

机构地区：[1]中国电子科技集团公司第四十一研究所,山东青岛266555

出　　处：《科技视界》2012年第15期29-31,共3页Science & Technology Vision

摘　　要：信号发生器中的震荡器的调谐电压和输出频率具有非线性关系,传统上一般用线性关系来表示两者的关系。本文提出一种基于BP神经网络模型的方法来拟合调谐电压和输出频率间的非线性关系,实验表明,BP神经网络能够很好的将两者之间的非线性表示出来,利用该模型可以提高锁相环路的工作效率。It is usually using the linear relationship to describe the relationship of Tuning Volts and Output Frequency in the Signal Generator＇s voltage controlled oscillator. But it is nonlinear. In this paper, it is presented a method which is based on BP Neural Network Model to describe the nonlinear relationship of Tuning Volts and Output Frequency. Experimental shows that the BP Neural Network can properly describe the nonlinear relationship between tuning volt and output frequency, and the efficient of the PLL is improved for using this model.

关 键 词：BP神经网络 信号发生器 压控振荡器 调谐电压 锁相环 

分 类 号：TN911.6[电子电信—通信与信息系统]