Aiming at problem that classification precision of neural network algorithm is not very high and node function doesn ’t have derivate

a new classification algorithm of deep neural network based on particle swarm optimization（ PSO） is presented. Use autoencoder of deep study

and combined with PSO algorithm to optimize the weight

coder and decoder for input sample data using autoencoder. In order to improve the classification precision of network

take the error function of autoencoder and cost function of softmax classifier weight sum as evaluation function of PSO algorithm in common

making coded data more adapter to the classifier. The experimental results show that compared with other traditional neural network

the classification algorithm has higher classification precision on Email classification.