ANNA Optimized by GA and Its Application in E-mail Filter

This paper presents a model of spam mail filter based on artificial neural network which is optimized by genetic algorithms. By using genetic algorithms, which is good at wide searching ability in solution space on optimizing connection weight matrix of artificial neural network, artificial neural network can get over the inherent limitation of local minimal and improve its learning speed and recognition ability. The application of the model in spam filter has been successfully proved by its implementing.