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The AIC Based on the Neural Network Filter

机译:基于神经网络滤波器的AIC

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It is impossible to recognize the direction of the target accurately when strong directional interference appears underwater. The adaptive interference cancellation based on the neural network filter is used to process the signal to solve the problem. In order to improve the calculation precision of the network, stochastic gradient BP algorithms is used to adjust the weights and threshold values. Finally, the simulation and the corresponding conclusion are presented by computer.
机译:当强烈的方向性干扰出现在水下时,无法准确识别目标的方向。利用基于神经网络滤波器的自适应干扰消除技术对信号进行处理,解决了该问题。为了提高网络的计算精度,使用了随机梯度BP算法来调整权重和阈值。最后,通过计算机给出了仿真结果和相应的结论。

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