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模糊J-K触发器神经网络降低传感器交叉敏感方法
引用本文:文会飞,汤晓君,刘君华. 模糊J-K触发器神经网络降低传感器交叉敏感方法[J]. 电子测量与仪器学报, 2011, 25(9): 775-780. DOI: 10.3724/SP.J.1187.2011.00775
作者姓名:文会飞  汤晓君  刘君华
作者单位:西安交通大学电气工程学院,西安,710049
摘    要:用模糊J-K触发器作为神经元的作用函数,构建了模糊J-K触发器神经网络系统,并将其应用于消除压阻式压力传感器干扰电流对目标参量的影响.实验结果表明,该方法结合了模糊技术和J-K触发器的优势,具有结构简单、训练速度快的优点.同采用常规S型函数作为神经元作用函数的神经网络相比,模糊J-K触发器神经网络训练次数少,均方根误差...

关 键 词:模糊J-K触发器  神经网络  交叉敏感

Decreasing sensor cross sensitivity based on fuzzy J-K Flip-flop neural network
Wen Huifei,Tang Xiaojun,Liu Junhua. Decreasing sensor cross sensitivity based on fuzzy J-K Flip-flop neural network[J]. Journal of Electronic Measurement and Instrument, 2011, 25(9): 775-780. DOI: 10.3724/SP.J.1187.2011.00775
Authors:Wen Huifei  Tang Xiaojun  Liu Junhua
Affiliation:Wen Huifei Tang Xiaojun Liu Junhua(School of Electrical Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
Abstract:Fuzzy J-K flip-flop is used as an action function of neural cell in neural network.A fuzzy J-K flip-flop neural network system is constructed at first,and applied to decrease the influence of interference current to the objective parameter of the piezo-resistive pressure sensor.The method combines the advantages of fuzzy theory and J-K flip-flop,with the advantages of quickness and ease.Comparing with the common S function in neural network,the new one de-creases the training times,and Root Mean Square Erro...
Keywords:fuzzy J-K flip-flop  neural network  cross sensitivity  
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