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作为对智能型ＣＡＰＰ系统开发工具实现模式的探讨，作者研制了“耦合神经网络基于实例推理的ＣＡＰＰ系统开发工具”，通过应从实例推理和神经网络等人工智能理论和技术，为ＣＡＰＰ系统开发工具这样一类工程问题的解决开拓了新的研究思路。本文简要介绍了实例推理的基本概念，提出了耦合神经网络的实例推理原理，给出了该系统的总体结构，并重点阐述了系统研制中的关键技术。
As an exploration of the implementation mode of intelligent CAPP system development tools, the author has developed a CAPP system development tool based on case-based reasoning of coupled neural networks. By developing artificial intelligence theory and techniques such as case-based reasoning and neural network, The solution of a class of engineering problems opens up new research ideas. This paper briefly introduces the basic concepts of case inference, puts forward the case inference theory of coupled neural network, gives the overall structure of the system, and focuses on the key technologies in system development.