Risk Response Expert System Based on Neural Network and Framework Reasoning
Jie Zhang · Jisuanji gongcheng · 2008
The expert judgment risk response method used now in aircraft assembly project need to be improved for its subjectivity and complication.To make it more effective and reliable,this paper proposes an improved method that integrating neural network with framework reasoning.Based on frame theory,it stores experts’ experiences about risk response in the expert system repository by the rule that there are mapping relations between solutions and risk factors.The neural network is trained to obtain the knowledge in the form of weight.When using,it gets the response solution for the risk by reasoning and matching the output of the neural network with the knowledge in repository.It gives attention to the coupling of all risk factors to avoid the loss of information and also can simulate the expert thinking exactly to advance the project management ology level of aircraft assembly.This method has been replied in a certain airplane design project.Application illustrates the feasibility and validity of the method.