作为输入的FTIR特征谱峰不同时，则网络的平均分类识别正确率也不同。
The mean accurate rate of recognition of the LVQ neural network would be different, as the input vectors comtained different kind of FTIR characteristic frequencies.
本文旨在测试语音输入软件对语音识别的正确率，重点分析语音输入软件对声调识别错误的类型及影响出错的因素。
This paper examines the accuracy rate of voice input software, focusing particularly on the nature and causes of tone recognition errors.
对于多用户的注视探测，二维组合系数输入实现了100%的正确率识别率。
The 1-dimensional and 2-dimensional vector input have achieved 100% classification rate to single-user and multi-user, respectively.
对于多用户的注视探测，二维组合系数输入实现了100%的正确率识别率。
The 1-dimensional and 2-dimensional vector input have achieved 100% classification rate to single-user and multi-user, respectively.
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