【摘要】 使用Filter X算法研究有源噪声控制问题 ,存在需要较高阶次的滤波器和当主噪声路径是非线性时控制效果不佳的缺陷 ,为此提出了一种基于模糊神经网络的非线性噪声有源自适应控制方法 ,并给出了一种基于误差梯度下降的学习算法。一个非线性的仿真例子表明 ,模糊神经网络控制方法对于非线性噪声控制效果明显更多还原

【Abstract】 An adaptive active nonlinear noise control approach using a fuzzy neural network is derived, which can overcome the disadvantages of the Filter X method. Such as the higher order filter needed and the control is invalid when the primary path is non linear.A learning algorithm based on the error gradient descent method is proposed. A nonlinear simulation example is given to show that the adaptive active noise control method based on a fuzzy neural network is efficient in the nonlinear noise control.更多还原