本文将事例推理的方法结合在注塑模模架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;并阐述此KBE系统的实现平台。 In this paper, the method of case-based reasoning is combined with the KBE system of injection mold to improve the reference ability of the system to the successful cases in the past. The self-learning ability of neural network is used to solve the calculation problem of mold block design and front and back mold design. And expounds the realization platform of this KBE system.