| 1. | The experiments and their relevant results show that the recognition accuracy reaches 98 %
实践表明，该方法能快速从车牌汉字图像中辨识出汉字字符，识别准确度可达98 % 。 |
| 2. | It is proved highly that this method has advantages of recognition accuracy and robust capability of anti - interference
实验证明该方法具有较高的识别率和较强的干扰能力。 |
| 3. | The results of many experiments in different conditions prove the image recognition accuracy rate has reached 98 %
不同环境下的实验结果证明，开关位置的识别准确率达98 % 。 |
| 4. | However , if we choose randomly two or more than two nust faces as the training samples , then the recognition accuracy of 100 % is obtained
在南京理工大学人脸图象库nustfdb上取2幅或2幅以上图象训练则得到100的识别率。 |
| 5. | When the algorithm is applied in the identification of industrial parts , comparison with the traditional bp neural network the recognition time will be shortened 2 . 8 second , and the recognition accuracy can reach more than 81 %
将上述算法应用于对工业零件的识别当中，相对于传统的神经网络可缩短识别时间2 . 8秒，而且识别正确率可达到81以上。 |
| 6. | With more training samples , this model can improve its recognition accuracy as its flexibility of structure and algorithm . the above - mentioned good performances facilitate the use of the proposed model in an on - line real time mode
实验证明，所提出的模型收敛速度快、识别精度高，并且具有较强的自适应能力，可应用于控制图的在线实时模式识别。 |
| 7. | A major improvement in recognition accuracy has been achieved in dtw algorithm compared to classical methods , eventually a software for speaker - dependent and isolated - word speech recognition is worked out
其中识别算法部分本文对经典的dtw进行了改进，成功地提高了识别率。最终，根据所选参数和识别算法编制了一个特定人、小词汇量、孤立词语音识别软件。 |
| 8. | The mean of the intraclass standard deviations of the features is used as a weighting factor during the classification process to improve recognition accuracy . the system is rigorously tested under different conditions , including using different number
该系统使用不同行数的训纨集和不同字号的文档进行了测试，结果表明， tsirikolias mertzios矩利加权规格化生相关提供了最好的识别率。 |
| 9. | Experimental results show that the cascading of the speech enhancer and a hidden markov model ( hmm ) based speech recognizer can significantly improve recognition accuracy in noisy environments without performance degradation for clean speech
通过3种不同的增强算法用于纯净语音和3种类型带噪语音的实验结果分析比较表明，这一方法对纯净语音的识别精度几乎没有任何改变而大大提高了系统的抗噪声性能。 |
| 10. | A tool to analyze the object based on color character is designed . the threshold value for image recognition can be decided by many experiment and the results statistic . the results of many experiment in defferent conditions , the image recognition accuracy rate has reached 100 %
设计一个针对被识别目标的颜色特征分析工具，通过多种情形的实验和对实验结果的统计确定了用于识别的阈值。不同环境下的实验结果证明，告警灯识别准确率达100 % 。 |
