传统的神经网络非均匀性校正算法对噪声具有较好的自适应性，但当空间低频噪声较大时，校正效果明显下降。

The traditional neural network correction has a good adaptivity to the noise. But with a stronger low frequency space noise, the correction effect is very poor.

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提出一种基于自适应变形模板的非结构化道路检测算法。

A new method of unstructured road detection based on adaptive deformable template is presented.

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实验表明，MAP算法可以有效地降低汉语数码语音识别对被适应人的误识率，而且对非自适应人性能影响很小。

The experiment shows that the MAP algorithm can considerably reduce the error rate of Mandarin digital speech recognition on the adapted speaker and cause little influence on the non-adapted speakers.

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