...列下的实验结果 Tab.3 Results for Different Templates 模板类型 样本所有元素 高频词部分 错误识别率 (False Recognition Rate) 0% 2.94% 错误拒绝率 (False Rejection Rate) 0% 24.51% 250 3.3.3 实验 3：不同样本个数的实验结果 对于大多数分类算法，训练样...
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研究结果表明，杂草的正确识别率约为93%，作物的错误识别率约为7%。
The result of research showed that the correct classification of weeds was 93% and the mistake classification of crops was 7%.
本论文针对词库外的词汇和错误识别进行拒识，以期达到减少识别错误，提高系统的识别率，降低虚警率的目的。
In this paper, the word out of vocabulary and misrecognition are rejected to cut down the recognition faults, improve the system recognition ratio and reduce the false acceptance ratio.
由于识别率较高，造成了正确样本数与错误样本数的比例接近到了8：1。
As the recognition rate is relatively high, the ratio of correct and wrong the number of samples has reached 8:1.
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