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在专家系统开发中推理机制的设计是影响系统性能的一个关键因素。重点介绍专家系统常用的两种推理机制。阐述在Intranet中IT技术支持专家系统中将基于故障树的推理机制与基于神经网络的推理机制相结合形成一种更高效的推理机制的过程。
In the development of expert systems, the design of reasoning mechanism is a key factor affecting system performance. Focus on two common reasoning expert system mechanism. The process of constructing a more efficient inference mechanism by combining the fault tree-based reasoning mechanism and the neural network-based reasoning mechanism in Intranet’s IT technical support expert system is described.