Most rules engines let you use declarative programming to express the consequences that are valid given some information or knowledge.
大多数规则引擎允许您使用声明性编程来表达对于某些给定信息或知识有效的结果。
So the tests that are assigned to a machine need to become part of the knowledge that the rules execution engine should use when evaluating the rules.
因此,分配给机器的测试需要成为规则执行引擎在对规则求值时所使用的知识的一部分。
These statements use a method named insert to update the knowledge in the rules engine.
这些语句使用一个名为insert的方法更新规则引擎中的知识。
An instance of the Drools WorkingMemory class is used to assert or declare the knowledge that the rules engine should use to determine which consequences should be executed.
DroolsWorkingMemory类的实例用于断言或声明知识,规则引擎应使用它来确定应执行的结果。
The WorkingMemory class's insert method is called to state the knowledge that the rules engine should use when evaluating rules.
WorkingMemory类的insert方法被调用以声明在对规则求值时规则引擎应使用的知识。
Think of knowledge as the data or information that a rules engine should use to determine whether the rules should be fired.
将知识当作规则引擎用于确定是否应启动规则的数据或信息。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
This system expresses knowledge producing rules, puts to use reasoning machanism of combining positive direction with opposite direction. It imitates expert diagnosis process exactly.
系统用产生式规则表示知识,采用正向推理策略,较准确地模拟了专家的施治过程。
This framework connects data integration with intelligent technology such as knowledge base, inference engine and rules, and highlights the use of "knowledge" in the process of data integration.
此框架将数据集成与知识库、规则引擎等智能技术联系起来,突出了“知识”在集成过程中的作用。
The expression form of rules in existing electrical machine design is not easy to read or use, which affects the utilization of knowledge and maintenance of knowledge-base.
现有电机设计专家系统存在规则表达形式不直观的问题,影响了知识库的形成、使用和维护。
Because this problem doesnot use rules based on special knowledge, it is current and robust.
该算法不用基于领域知识的规则,具有很强的通用性与鲁棒性。
Because this algorithm does not use rules based on special knowledge, it is current and robust.
该算法不用基于领域知识的规则,具有很强的通用性与鲁棒性。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
在系统实现中,采用隶属函数来反映故障对象特征的模糊性和模糊关系,基于关系数据库进行知识的模糊表达,实现基于规则的模糊推理。
If we can analyze the considerable data and information effectively, the rules and models and knowledge will be found, which we can use to aid company to make its strategy and marketing plan.
在大量的数据与信息中,蕴藏着企业运作的 利弊 得失,若能够对这种海量的数据与信息进行快速有效地深入分析和处理,就能从中找出规律和模式,获取所需知识,帮助企业更好地进行企业运筹决策。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘,抽取知识规则,最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘,抽取知识规则,最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
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