Design and realization of a network fault diagnosing expert system based on genetic algorithm

An intelligent fault diagnosis expert system is developed by using object-oriented approach and Visual C + +6.0 language. The frame of system and the function of each module are also introduced. In the system the theory of genetic algorithm is presented to process the problem of knowledge acquisition, and expert system is used for network fault diagnosis, this improves the system capability of restraining noises, and makes system be able to do self-learning. The results of the experiment on the campus network show that the system can collect and deal with alarm data, inspect the state of networks and diagnose the network fault.