1) event reasoning
事件推理
1.
The representations of events relations and event reasoning are the keys for events-based knowledge processing.
事件关系的表示及事件推理是基于事件的知识处理的核心内容。
3) case based reasoning
事例推理
1.
On the basis of those key problems, the application of case based reasoning in resource requirements was discussed and the basic structure of the master production scheduling system was proposed.
为了快速、准确地获得最佳的主生产计划 ,在分析主生产计划系统中关键问题的基础上 ,探讨了基于事例推理技术在资源需求求解中的运用 ,提出了基于事例推理的主生产计划系统基本结构。
2.
This paper researches on the realization and application of case based reasoning and provides an example.
推理机制是模拟人类思维方式的关键技术之一 ,针对这一问题研究了事例推理的实现和应用 ,并给出例证 。
4) Case-based reasoning
事例推理
1.
Application of case-based reasoning in injection mould for determining manufacture time quota;
基于事例推理的注塑模加工时间定额的确定方法
2.
Real-time target value determination for the unburned carbon mass fraction in fly ash based on case-based reasoning technology;
运用事例推理技术确定飞灰含碳质量分数实时目标值
3.
According to the characteristics of the region grid,this paper applies the CBR(case-based reasoning) methods on the expert system of dispatching operation order,which can overcome the disadvantages of the traditional RBR(rule-based reasoning) system,such as complicated programming and difficulty to extend the knowledge base.
针对地区电网运行操作特点,将事例推理的方法应用于地区电网操作票专家系统。
6) case reasoning
事例推理
1.
Rough set-based conflict resolution case reasoning in collaborative design;
基于粗糙集的协同设计冲突消解事例推理技术
2.
Based on this model, intelligent technologies such as case reasoning, neural network and blackboard reasoning were integrated to deal with specific requirements from different fields.
在此基础上,针对各领域具体要求,在模型中集成了事例推理、神经网络和黑板推理等智能技术,用于知识的表示和学习,提高了系统解决问题的适应性和灵活性。
3.
Combined with the progress in knowledge based engineering(KBE) in design and data diagram of the designing mold base, the basic frame of KBE system of mold base design was presented and its key technologies (knowledge processing, case reasoning and neural network) were researched in detail.
结合当前工程设计领域 KBE技术的发展和模架设计的数据流图 ,给出了注塑模模架设计KBE系统的基本框架 ,并对其关键技术进行了分析 :模架设计知识采用框架 -规则的方法表示 ,并给出了推理的流程图 ,通过面向子目标的方法提高了 KBE系统的知识表示和推理能力 ;将事例推理的方法结合在 KBE系统中 ,提高了系统对以往成功事例的参考能力 ;利用神经网络的自学习能力 ,解决了模架中镶块和前后模设计的计算问题 。
补充资料：演绎推理(见推理)
演绎推理(见推理)
deductive inference
住理。yanyl tullj演绎推理(deduetive infer。二ee)见
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条