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。
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