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本文简要介绍了实例推理和人工神经网络的基本概念,提出了耦合神经网络的实例推理原理,阐明了神经网络在实例推理中应用的理论基础,并结合作者研制的“耦合神经网络基于实例推理的CAPP系统开发工具”,具体阐述了如何应用神经网络解决实例推理中的关键环节和难点。神经网络理论和技术的引入,为实例推理理论的实现模式开拓了新的研究思路。
This paper briefly introduces the basic concepts of case inference and artificial neural network, puts forward the principle of case inference based on coupled neural network, expounds the theoretical basis of the application of neural network in case inference, and combined with the example of “coupled neural network based on case inference CAPP system development tools, ”elaborated on how to use neural networks to solve the key issues and difficulties in case-based reasoning. The introduction of neural network theory and technology has opened up new research ideas for the realization of the theory of case inference.