In some cases, it is also possible to graphically determine the sequence of execution of those business rules using a rule flow.
在有些情况下，也可能以图形的形式确定使用规则流的那些业务规则的执行顺序。
Even beyond top-down and shift-reduce parser, NLTK also offers "chart parsers" that create partial hypotheses that a given sequence can be continued to fulfill a rule.
甚至，除了top - down和shift - reduce解析器以外，NLTK还提供了“chart解析器”，它可以创建部分假定，这样一个给定的序列就可以继而完成一个规则。
A validation rule to handle invalid messages in sequence diagrams has been introduced. The constraint for this rule can be found in this UML 2.2 specification
序列图中处理无效消息的验证规则会得到引入。
Secondly, it analyzed association rule and sequence mode used in the process of data mining and compared the main algorithms of association rule and sequence mode.
其次，分析了数据挖掘中所使用的关联规则和序列模式，对关联规则和序列模式的各种挖掘算法进行了比较。
In the receive site, we operate non-chaos synchronization in reverse and resume binary message sequence by the correlated rule of the sender.
接收端根据发送端的相关规则，进行非混沌同步的逆运算，恢复出二进制信息序列。
A fault alarms correlation rule analysis model based on sequence clustering algorithm is designed.
设计了基于序列聚类算法的故障告警关联规则分析模型。
Subsequently, the association rule discovery algorithm is employed to discover the sequence association rules.
最后应用关联规则发现算法进而发现序列关联规则。
In this paper, knowledge discovery in network alarm sequence is studied and an algorithm of frequent episode rule discovery based on sliding Windows is presented.
本文研究网络告警序列中的知识发现问题，提出并实现了一种基于滑动窗口的情景规则挖掘算法。
This paper discusses about the mutual act rule between MODIS EVI sequence and crop growing process, and analyzes the weather factors influencing the growing process of winter wheat by EVI sequence.
该文探讨了MODISEVI序列与作物生长过程的互动规律，利用EVI序列分析影响冬小麦生长过程的气象因素。
The thesis studied the BP neural network's model and structure, its studying rule, built up the time sequence based on BP neural network. Also studied the problem like network size, generalization.
本论文探讨了BP神经网络的模型与结构，BP学习规则，构建了基于BP神经网络的时间系列预测模型，研究了神经网络的规模、推广能力等问题。
The thesis studied the BP neural network's model and structure, its studying rule, built up the time sequence based on BP neural network. Also studied the problem like network size, generalization.
本论文探讨了BP神经网络的模型与结构，BP学习规则，构建了基于BP神经网络的时间系列预测模型，研究了神经网络的规模、推广能力等问题。
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