仿真结果表明，用产生式规则系统模拟驾驶行为是可行的，通过模糊规则和普通规则的共同作用，能方便地进行扩展。
The results showed that it is feasible to describe drivers' behavior with production rule system, and it's easy to expand by the cooperation of fuzzy and ordinary rules.
为了实现实验操作的正确性检查，采用产生式系统定义实验规则，使用正向推理策略进行规则匹配。
To implement the check-up of the operations, production system is used to define the experimental rules, and forward reasoning strategy is used for rule match.
升降横移立体车库的故障诊断专家系统，用产生式规则将车库故障知识转换成规则表示形式并建立相应的知识库。
The expert system for lifting and transferring cubic garage adopts the generating rules to transform the garage failure knowledge into the rule and establish the corresponding knowledge base.
故障检测由基于知识系统实现，通过过程的深层知识获得故障检测产生式规则。
Fault detection is performed through the knowledge based system, where fault detection heuristic rules have been generated from deep and shaoolw knowledge of the process.
本系统工艺知识的描述与表达采用了产生式规则法和框架法，以成组技术(GT)为基础，以零件组为基本单元分别进行。
The description of the process knowledge adopts the method of productive rule and frame in this system. It bases on GT and is done according to parts group.
林火蔓延多模型预测系统是根据产生式规则为推理原则建立的多模型预测系统。
The multi-models forecast system for the forest fire spread acts according to the production rule for the inference principle establishment.
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。
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.
图形分解时，系统根据当前图形的几何特性，推断出要应用的产生式规则和对图形要施加的分解操作，因此可以得到一个较好的图形分解。
When graphs are decomposed, the system deduces productive rules and decomposing operations to , be used from geometric properties of the graph so that better graph decomposition can be obtained.
在此基础上构建一个基于产生式规则的专家系统。
On the base of this, an expert system based on producing rule is structured.
根据自然语言理解和网络故障诊断专家系统的特性，提出了一种扩展产生式规则的知识表示方法。
According to the characteristics of natural language understanding and expert system of network fault diagnosis, the extended production rule was presented.
系统采用了基于权重规则、基于产生式规则和基于模型的知识表示方法；
The weight-based rule, the product rule and the model-based rule is established to present the knowledge.
根据奶牛疾病诊断专家系统中知识数量多，关系复杂的特点，本研究采用产生式规则进行知识表示，这种表示方法保留了模块化、易于理解的特点。
Based on the large and complicate theory in the dairy cow Expert System, the production rule was used in the research. It was modularization and easy to understand.
但具有大规模规则库的产生式系统，其知识的组织与管理越来越困难，推理效率也越低。
But as to the large of knowledge data base, it becomes more and more difficult for the organization and management of knowledge, so the reasoning efficiency of the system is also lower.
系统实现“四库一体化”结构，提出全新的方法库概念和适合于大体量知识库的产生式规则法、框架法、关系数据库法结合的知识表达体系。
A new concept of method base and knowledge expressing system by combination of production rule method, frame method and data base method appropriate to big knowledge base was proposed.
在选定数据集上的仿真实验数据表明，提出的方法可以明显提高基于加权模糊产生式规则的专家推理系统的泛化能力。
Experimental results on a number of selected databases demonstrate the expected improvement of generalization capability of the FPR-based expert systems.
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 system expresses knowledge producing rules, puts to use reasoning machanism of combining positive direction with opposite direction. It imitates expert diagnosis process exactly.
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。
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.
在分析产生式系统组成的基础上，结合电炉炼钢厂的具体情况，编制出基于产生式规则的电炉炼钢厂计算机调度软件。
Based on the production system and the facts of the factory, the computer schedule software for EAF steelmaking plant is programmed.
目前ITS系统的主流方法是在三元结构的基础上，利用产生式规则建立专家系统。
Currently, mainstream ITS system is based on the ternary structure, using of production rules to establish the expert system.
描述一种诊断型专家系统，它统属于基于规则的产生式系统，推理机是核心部分，分别采用了正向、反向推理技术。
The system is a rule-based production system. Inference engine is the core part of expert system. We use forward chaining and backward chaining at the same time.
介绍了专家系统产生式规则与模糊集合相结合的方法，阐述了压铸工艺经验表达的自然语言理解方式。
A method that combines expert productive rules with fuzzy sets was introduced. It set up a natural linguistic recognition for expression of die casting processing experience.
前言：带式输送机机械传动系统原理方案设计是一种构思设计，它最能发挥设计者的智能，适于采用产生式规则来实现专家系统。
Mechanical transmission conceptual design of draper type conveyor is such one that can exert the capacity of designer and is suitable to be accomplished by expert system with "if-then" rules.
摘要：根据越来越多个人理财的需求，开发了基于产生式规则的个人理财专家系统。
Absrtact: To meet the need of personal financial planning, developed the application of personal financial planning expert system based on generative formula.
FSES引入数据库关联技术，结合传统的产生式规则法和框架法等人工智能技术，建立了以关系型知识库为主的农业生态系统知识库体系。
The FSES adopted relation database system and interrelated knowledge presentation technology in combination with production rule and frame system. An uncompleted fuzzy reasoning was applied in FSES.
故障检测由基于知识系统实现，通过过程的深层浅层知识获得故障检测产生式规则。
Fault detection is performed through the knowledge-based system, where fault detection heuristic rules have been generated from deep and shallow knowledge of the process.
简述了产生式系统的组成和运行机制，依据面向对象思想设计了产生式规则的表示方法和推理功能。
This article summarized composition and running mechanism of production system, and designed a representation and reasoning method of production rules according to the object-oriented thought.
本文提出产生式规则索引算法和排序算法，用以提高智能系统运行速度。
For enhancing the speed of AI sty stem, We presented the efficient sort and index algorithms.
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。
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...
模糊产生式规则作为模糊推理中一种重要的工具，被广泛地应用在专家系统中，以描述模糊的或者不确定性的概念。
When fuzzy production rules are used in approximate reasoning, there are interaction influences on rules that have the same consequent but different antecedent.
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.
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