但由于面向对象技术本身不具备规则推理能力，因此将现有的基于规则技术集成到面向对象系统中成为一个研究的兴趣点。
But object-oriented technology has no ability of reasoning itself, so it is always an interesting point of research to integrate the rule-based technology into object-oriented systems.
通过将启发式规则和事例相结合，提出了一种基于规则和事例混合推理的冲突解决支持技术。
By combining heuristic rule and case, we put forward a collision solution support technique by integrating case-based and rule-based reasoning.
提出了一种新的压力中心计算方法，并对基于规则和实例的混合推理技术进行了较深入的研究。
Some key technologies, such as the compound CBR and RBR technology and a new calculating approach of pressing center are studied.
范例推理作为基于规则推理技术的一个重要补充，已受到人工智能研究人员的普遍关注。
As an important supplementary technique to rule based reasoning, case based reasoning, has been emphasized by researchers in the artificial intelligence field.
进而采用基于规则的专家系统技术，实现一个可以自动进行推理，并给出相应结论的原型系统。
The prototype system which could reason automatically and give relevant conclusion is realized by regular expert system technology.
文章提出了毛纺织工艺设计智能化模型，通过基于案例(CBR)和基于规则的推理(rbr)以及人工神经网络(ANN)等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model (WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
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.
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
根据我国大型港口机械设计的实际需要，提出了基于由实例推理和规则推理构成的混合推理的产品配置技术。
According to the actual demand of large port mechanical design, product configuration technology design based on blend reasoning is proposed.
根据我国大型港口机械设计的实际需要，提出了基于由实例推理和规则推理构成的混合推理的产品配置技术。
According to the actual demand of large port mechanical design, product configuration technology design based on blend reasoning is proposed.
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