研究基于实例模型的模糊推理方法。
为提高夹具设计的敏捷性，提出了一种基于夹具功能分解的实例推理方法。
To improve agility of fixture design, a method of case reasoning based on decomposed fixture function was presented.
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the faults in the ignition system of automobile engine.
将基于实例推理的方法应用于六杆间歇机构的设计，开发了一套六杆间歇机构综合的专家系统。
In this paper, the method based on case reasoning is applied for the design of six-bar dwell mechanism.
通过对设计重用和基于实例推理机制的研究，提出了基于知识产品开发过程模型重用的建模方法，并对其进行了详细描述；
Through research on design reuse and Case-Based Reasoning, modeling method based on product development process model reuse is presented and described in detail.
将学习矢量量化神经网络集成在基于实例推理的故障诊断方法中，减小了实例搜索空间，提高了实例检索效率。
The learning vector quantization neural network has been integrated successfully with the case-based reasoning approach to reduce the case indexing space and to enhance the indexing efficiency.
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.
本课题对基于实例推理的相似产品系统设计方法进行了研究和探讨。
In this paper, similar products system design Based on CBR technology is discussed.
针对基于实例推理的设计方法实例修改自动化程度较低的情况，对夹具实例自动化修改中的变型设计过程进行了研究。
Aiming at the low level of automation of case retrieval in case-based design, the variant design used in case-based fixture design was studied in detail.
采用基于实例推理的方法，建立了整体框架式液压机的产品族和虚拟柔性模块族，为该类机械产品的快速设计提供了理论和技术支持。
Product and virtual flexible module families of framed hydraulic press machines are established by adopting the method based on CBR, which offers theory and technology support for the rapid DE...
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of…
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of…
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