Fault diagnosis based on the combination of rough set and artificial neural network on radar equipment

In this paper, considering Radar Equipment fault diagnosis characteristic, a diagnosis model based on rough set theory and BP neural networks is proposed and the realization steps of the model are analyzed. After the continuous attributes are discredited with a Kohonen neural network, Rough sets theory is used to simplify the attribute parameters. The reduction results are transformed into rules, which are used as input of the BP neural network. Radar Equipment is introduced to verify the feasibility and necessity of above method.