| 1. | Three - point chiral recognition model 三点手性识别模式 |
| 2. | Analyze the information you ' ve collected to identify patterns and insights 分析你收集的信息,来识别模式和见识。 |
| 3. | With two - dimensional quasi - geostrophic motion , a series of numerical experiments are made to prove the theoretical results ; gj )传统识别模式误差和奶始误差的方法,是把一系列的初始场输入到。 |
| 4. | If you want to disable the speech recognition mode and support dtmf only , you can change the mode of the application by changing the following line in the 如果您想禁用语音识别模式,而只支持dtmf ,那么您可以通过修改 |
| 5. | Instead , they feed documents humans have already translated into two languages and then rely on computers to discern patterns for future translations 相反,它们的饲料证件人类已经译成两种语言,然后依靠电脑来识别模式,为今后的翻译工作。 |
| 6. | 2 . considering plenty the effect factor of reservoir , make a statistics of the log curve response character of reservoir ; establish a suitable recognition pattern of standard reservoir ( 2 )在充分考虑储层影响因素的情况下,统计出储层的测井曲线响应特征,建立适用的标准储层识别模式。 |
| 7. | For example , you can use a clustering algorithm , which recognizes patterns , to break data into groups that are more or less homogeneous , and then use the results to create a better decision tree model 例如,可以使用聚类分析算法来识别模式,将数据细分成多少有点相似的组,然后使用分组结果来创建更好的决策数模型。 |
| 8. | Because wavelet transformation has strong capability of withstanding noise , we have easily considered making wavelet transformation for the input signals , and recognizing them in hidden markov models 由于小波变换具有很强的去噪功能,一个自然的想法是在hmm识别系统前串连一个小波滤波器,将待识别模式信号作小波变换后再输入hmm模式识别系统以进行识别。 |
| 9. | If the equipment is in condition of acute wear , the variable group will be determined by using fuzzy clustering arithmetic according to relativities of all elements under different level , and the pattern of waiting for identifying will be constructed 一旦发现设备有剧烈磨损,能够运用模糊聚类分析算法,分析了不同水平下的各元素亲近关系,从而确定设备磨损部位的变量组,构造待识别模式。 |
| 10. | Because observing patterns to be recognized from multiple sensors can well and truly reflect the features of them , eliminate the uncertainty of the information . pattern recognition methods based on information fusion have already been one of the development trends of pattern recognition field 从多传感器视角观察待识别模式能够完整准确的反映模式特征,消除观察信息的不确定性,因此,基于信息融合的模式识别方法已成为模式识别的发展趋势之一。 |