It introduces the concrete realization course of the expert system and traverses the inference mechanism based on rule, case, model and hybrid reasoning.
介绍了专家系统的具体实现过程，对基于规则、基于案例、基于模型以及混合推理的推理机制进行了研究。
A method of hybrid inference based on forward inference and backward inference strategies is achieved in designing extrusion step analysis expert system.
采用正向推理与反向推理相结合的方法，开发了用于挤压工步分析专家系统的混合控制策略。
The progress of scraps breaking and slot modal CAD expert system are also presented by use of hybrid knowledge representation.
运用混合知识表示方法设计了切屑折断过程与槽型CAD专家系统。
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。
So, it becomes a very important research field with great practical value and broad developing prospects to research intelligent hybrid system based on neural networks and expert systems.
因此，智能混合系统就成为当今人工智能研究领域中的一个非常重要且具有很大实用价值和广阔发展前景的研究领域。
Expert system can use experts' knowledge and experience to ratiocinate, judge and make decision, which is an effective way to construct the soft-sensor hybrid model.
专家系统能够运用专家的知识与经验进行推理、判断和决策，是解决生物量软测量混合模型构建的有效方法。
To diagnose the board-level circuit fault rapidly, we put forward a hybrid system of rough set, neural network, and expert system for fault diagnosis of radar equipment.
为了快速诊断板级电路故障，提出了采用分类的粗糙集-神经网络-专家系统的混合系统实现雷达装备的故障诊断。
Therefore, researching expert system knowledge organization method and knowledge base is meaningful theoretically for structuring soft-sensor hybrid model.
因此，研究专家系统知识组织方法和知识库对于生物量软测量混合模型结构的构建具有重要的理论意义。
By analysing the state transfer of Guangzhou-Shenzhen railway operation system and using expert system technology, a intelligent simulation model for this complicate hybrid system is presented.
通过对广深铁路运营这一复杂系统的分析，采用传统的状态转移与专家系统技术相结合的方法，建立了广深铁路运营仿真平台软件。
An example was trained and actually diagnosed with the hybrid system of rough set-neural network-expert system on this platform.
并以实例对粗糙集-神经网络-专家系统的混合系统进行训练和实际诊断。
An example was trained and actually diagnosed with the hybrid system of rough set-neural network-expert system on this platform.
并以实例对粗糙集-神经网络-专家系统的混合系统进行训练和实际诊断。
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