【摘要】 根据“逆模型”的思想,利用神经元网络良好的逼近能力,提出了基于函数联接型神经网络的传感器动态补偿方法。该方法设计的动态补偿器实现简单,实时性好;不依赖于传感器的模型,鲁棒性强;可以优化补偿器的参数。该方法的补偿效果比零极点配置方法的好,是一种非常有效的新方法,值得推广应用更多还原

【Abstract】 According to the idea of inverse model,a sensors dynamic copmensating method based on functional link artificial neural network(FLANN) is proposed in this paper by using the excellent approaching ability of artificial neural network.Dynamic compensating device designed by this method is of easy realization and good real time.It is independent for the sensors model,and of strong robust.This method can optimum the parameters of the compensating device.Its compensating results are better than that of the pole zero locating method.It is a effective and new method and is well worth extension and application.更多还原