Figure 1 is a visual representation of rule 150.
图1是150规则的虚拟表示。
Decision trees provide an alternative representation of sequential if-then rule sets.
决策树提供了序列if - then规则集的另一种表示形式。
Such tasks need explicit representation as human tasks, not opaque Web services, because the rule used to select the second approver necessarily excludes the first approver.
此类任务需要显式地表示为人工任务，而不是透明的Web服务，因为用于选择第二个审批人的规则必须将第一个审批人排除掉。
Rule of Representation: Fold knowledge into data so that program logic can be stupid and robust.
表示原则：把知识放在数据中，这样程序逻辑就可以又蠢又壮。
A functional representation of the business rule is built and returned by to_function.
to_function将构建并返回代表着一条业务规则的函数。
At the same time, the definition, representation and calculation of the degree of similarity and rule representation are discussed.
同时讨论了贴近度的定义、表示和计算以及规则表示等问题。
It first introduces its architecture, knowledge representation model and reasoning schema, and then the concept of Rule model Graph (RMG) and an algorithm for reasoning using RMG.
首先介绍系统总体结构，给出知识表示模型和推理机制，并且引入RMG的概念，进一步提出运用RMG完成推理过程的算法。
This rule is a hybrid knowledge representation method that the premise, conclusion and advice of the rules are conceptual graphs.
扩展产生式规则将规则的前提、结论和建议分别用概念图表示，是一种混合知识表示方法。
To solve the problem of composite part design, through application of generative knowledge representation based on rule, a knowledge based system for composite part design was developed.
针对复合材料构件设计中所存在的问题，应用基于规则的产生式知识表达，设计和建立了飞机复合材料构件的设计知识库系统。
In this paper, we discuss a new method for rule extraction based on hyper-box representation.
提出一种从训练样本提取基于超盒表示的模糊规则的方法，用于模式分类。
Here we describe knowledge representation model oriented entity, database conversion, instantiation of the knowledge base, rule editor and data check-up algorithm.
在这里我们描述了面向实体的知识表示模型、数据库到知识库的转换、知识库的实例化、规则编辑器以及数据校验算法。
The representation of client requirement knowledge based on frame - rule and its inference process are presented, the product knowledge index and retrieve are analyzed.
提出了客户需求知识的框架-规则表示方法及推理过程，对产品知识索引与检索方式进行分析。
The method of knowledge representation based on rule extension is adopted in the knowledge representation mode.
在知识的表示模式中，采用了基于规则扩展的知识表示方法。
The production rule was used for knowledge representation.
知识表示使用产生式规则。
The default rule representation provides a concise syntactic and semantic formalism for potential causal relations to be used in causal reasoning models such as predicting, explaining and diagnosing.
因果关系的默认规则表达为潜在的因果关系提供了一个简洁的语法与语义形式化工具，使得因果关系能够应用在因果推理模型中，比如预浙江大学博士学位论文。
Rule of Representation: Fold knowledge into data so program logic can be stupid and robust.
译：表现准则：将知识包入数据，程序可以笨拙和健壮。
Knowledge production and frame representation are used to build rule database, status database, topology database and property database, these databases can describe all information of a substation.
该系统采用产生式知识表示法和框架知识表示法，通过在数据库中分别建立规则库、状态库、网络拓扑知识库和设备属性库来完整表述变电站的全部信息。
It makes use of rule as its knowledge representation, and recognizing-acting cycle as interpreter mechanisms.
它以规则作为知识表示；以识别——动作循环作为解释机制。
The basic representation unit in most rule-based expert systems.
在大多数基于规则的专家系统中的基本表示单元。
PTES is written in Prolog and extends Prolog's knowledge processing, capabilities by supporting rule - based knowledge representation and approximate reasoning.
PTES是用PROLOG编写的，该系统根据支持基于规则的知识表示及近似推理对PROLOG的知识处理能力进行了扩充。
Frame and rule fusion is adopted for knowledge representation. It avoids the knowledge combination explosion and enhances the accurate and efficiency.
知识表示方面采用框架和规则相结合的表示方法，解决了故障知识组合爆炸问题，也提高了诊断的准确性和高效性。
In the system, rule knowledge representation is the basic method.
在选件专家系统中，规则表示是基本的表示方法。
The knowledge representation technology, and the basic structure of NESDEV and translation algorithms from rule base to NN are introduced in this paper.
本文将叙述该开发环境的系统结构，规则库——神经网络翻译算法，人机接口技术等内容。
The three methods are: logic representation, semantic network, rule-based system.
这三种知识表示方法为：逻辑表示法、语义网络和产生式系统。
Rule of Representation: Fold knowledge into data so program logic can be stupid and robust.
表示原则：将知识叠入数据以求逻辑质朴和健壮。
The production rule is the primary mode of the knowledge representation. The system provides optional project by reasoning, interface for user and blackboard structure. Thes...
在系统设计中采用产生式规则作为知识的主要表示方式，并通过推理、用户界面以及黑板结构向用户提供合理的候选方案。
In the system, the method of knowledge representation is genetic rule, inference engine combines uncertain inference and rule inference.
该系统的知识表示使用了产生式规则形式，推理机采用了规则推理和不精确推理相结合的方法。
In the system, the method of knowledge representation is genetic rule, inference engine combines uncertain inference and rule inference.
该系统的知识表示使用了产生式规则形式，推理机采用了规则推理和不精确推理相结合的方法。
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