A new approach to the neural indexing models for case based process planning of turning parts is presented.
提出了一种基于神经网络的工艺设计实例推进索引模型。
Based on the typical process case and typical process template, a new process planning can be generated by character of different shaft parts.
该方法针对不同轴类零件，分别采用典型实例工艺和典型模板工艺进行新工艺设计。
Based on the research of the basic principle of CBR (Case-based Reasoning), a process planning model based on CBR is founded, the process of CBR and withdrawing cases are determined.
在研究基于实例推理基本原理的基础上，建立了CBR的工艺规划模型，确定了基于实例的推理过程以及实例的提取过程。
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