In addition, compared with high non-linear auditory system, artificial neural network has the capability to learn from limit sample sets and map input to output in various dimensions.
并且，对于高度非线性的听觉系统，采用从有限的实际样本中“自学习”到具有输入输出关系能力的人工神经网络模型来实现。
And under the condition that there are sufficient and representative samples, the network will come close to real auditory characteristics satisfactorily.
在这有限的样本有足够的代表性的条件下，可以较好地逼近真实的听觉特性。
And under the condition that there are sufficient and representative samples, the network will come close to real auditory characteristics satisfactorily.
在这有限的样本有足够的代表性的条件下，可以较好地逼近真实的听觉特性。
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