Chinese translation for "symbol sequence"

符号序列

Related Translations:

differentiation symbol:  微分记号

operational symbol:  运算符呈

writing symbol:  书写符号

relational symbols:  关系符号

begin symbol:  开始符号

escape symbol:  换码符号逸出符号转义符

welding symbol:  焊缝代号焊缝符号焊接符号，焊接代号焊接管号

lexicographical symbols:  辞书编纂符号

logic symbol:  逻辑符号

transmit symbol:  发送符

Example Sentences:

	1.	Bound symbol sequence 连续符号顺序
	2.	We define the map n from plane to symbolic space , and define its inverse map x using milnor ' s operator . we show that the symbol sequences with same tail ( resp 首先介绍了t l映射的符号动力学，定义了从平面到符号空间的映射冗，还通过milnor算子，定义了它的逆映射(
	3.	Different to exiting methods , it first segments time series based on a series of perceptually important points , and then time series are converted into meaningful symbols sequences in terms of domain knowledge and the relative scope of each linear segment 不同于传统处理模式，该方法在序列分段上，采用了一种新颖的、基于重要点的时间序列线段化算法；在符号化过程中，采用基于相对斜率的局部符号化方法。
	4.	Different to exiting methods , it first segments time series based on a series of perceptually important points , and then time series are converted into meaningful symbols sequences in terms of domain knowledge and the relative scope of each linear segment 不同于传统处理模式，该方法在序列分段上，采用了一种新颖的、基于重要点的时间序列线段化算法；再符号化过程中，采用基于相对斜率的局部符号化方法。
	5.	The method first segments time series based on a series of perceptually important points , use segment dynamic time warping distance as measurement , and then time series are converted into meaningful symbol sequences in terms of the segment ' s features and math categorization . after that , use above index model - irst , to achieve fast similarity retrieval in multiple time series 该方法提出通过基于重要点分段技术的分段动态挖掘距离作为相似性度量，既保证了度量的鲁棒性，又减少计算复杂度；利用各个分段的抽取六个主要特征，将时间序列转化成一种特定的符号序列，在此基础上利用海量全文索引结构实现了相似性的索引查找。
	6.	The method first segments time series based on a series of perceptually important points , use segment dynamic time warping distance as measurement , and then time series are converted into meaningful symbol sequences in terms of the segment ' s features and math categorization . after that , use above index model - irst , to achieve fast similarity retrieval in multiple time series 该方法提出通过基于摘要重要点分段技术的分段动态挖掘距离作为相似性度量，既保证了度量的鲁棒性，又减少计算复杂度;利用各个分段的抽取六个主要特征，将时间序列转化成一种特定的符号序列，在此基础上利用海量全文索引结构实现了相似性的索引查找。

Similar Words：

"symbol pulse" Chinese translation, "symbol queue" Chinese translation, "symbol rank" Chinese translation, "symbol rate" Chinese translation, "symbol sense" Chinese translation, "symbol set" Chinese translation, "symbol shape" Chinese translation, "symbol shape storage" Chinese translation, "symbol size" Chinese translation, "symbol stainer tool" Chinese translation