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电容式压力传感器温度补偿的RBF神经网络
引用本文:张雪君. 电容式压力传感器温度补偿的RBF神经网络[J]. 传感器与微系统, 2001, 20(5): 9-11
作者姓名:张雪君
作者单位:宁波高等专科学校电子系,
摘    要:
提出了一种基于径向基函数 (RBF)神经网络的电容式压力传感器温度补偿方法。通过实例说明了这一方法的应用 ,结果表明采用这种方法能在不同的压力下及温度变化较大时 ,对电容式压力传感器进行有效的温度补偿 ,并且能得到很高的补偿精度。

关 键 词:电容式压力传感器  温度补偿  径向基函数  神经网络
文章编号:1000-9787(2001)05-0009-03

Temperature compensation of a capacitive pressure transducer based on RBF neural network
ZHANG Xue-jun. Temperature compensation of a capacitive pressure transducer based on RBF neural network[J]. Transducer and Microsystem Technology, 2001, 20(5): 9-11
Authors:ZHANG Xue-jun
Abstract:
A new method for realizing the temperature compensation of capacitive pressure transducer based on radial basis function (RBF) neural network is proposed. The application of this method is illustrated with an example. The results show that the method is useful for various levels of input pressure at low and high temperature. A fair degree of compensatory accuracy can be achieved.
Keywords:capacitive pressure transducer  temperature compensation  radial basis function  neural network
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