然而，在许多应用领域，CMAC的学习精度不能满足应用要求。
However, the learning accuracy of CMAC is too low to meet the requirements of application in many fields.
因此，在许多应用领域都显示了强大的生命力，具有重要应用意义。
Therefore, FIR filter has shown its strong vitality in many fields and its importance in using.
人工神经网络在许多应用领域中建立了一种新的高度并行计算的结构。
In practice neural networks create a new kind of architectures of highly parallel computations.
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