结果表明，在无噪和有噪情况下，神经网络模型的辨识精度和泛化能力都要优于传统方法。

Compared with the classical method, the identification accuracy and the generalization capability of nn are testified to be superior in either the free - noise or noisy case.

youdao

在客观测试中，OD G值提高了0.469，说明去噪后语音与原始无噪语音更加接近。

In the object test, ODG was improved 0.469, which declares that denoising speech is more similar to the original clear signal than the noisy speech.

youdao

在许多工程实践问题中，区间回归分析是处理区间数据的一个重要手段。文献中用神经网络实现的区间回归分析都假定给定的训练数据是无噪的。

A method by means of neural networks for interval regression analysis hasbeen proposed on the assumption that the given training data are totally "good data".

youdao