基于耦合神经网络集成推理技术的机械产品智能化方案设计支持系统研究与实现

Research and Implementation of an nitelligent Scheme Designing Support System Based on Techniques of Integrated Inference Coupled with Neural Networks for Mechanical Products

把神经网络与规则推理相结合，用于方案设计决策支持系统的推理机构中。首先根据领域规则构造出神经网络，再根据样本对神经网络进行学习训练。该系统有自学习功能，其网络的拓扑结构在学习过程中可以动态变化，用户可根据实际需要进行知识的更改和完善，用户界面方便实用。

Neural networks and rule-based reasoning are integrated in the inference of decision support system forscheme design. The neural netWork is constructed according to domanial rules first and then is trained by thesamples. With the self-learning function the netWorks topology structure of the system can change dynamically,which makes users modify and perfect knowledge easily. Furthermore, the system has a convenient and practicaluser interface.