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Currently, the diagnosis of pneumonia type mainly depends on the experience of doctors. But some of the CT images of pneumonia were very similar. It is easy to misdiagnose, even experienced doctors. Therefore, a classification algorithm based on convolution neural network is proposed, which consisted of three convolution layers,three subsampling layers and one fully connected layer , and also a special structural processing is proceeded on the convolution layer. The network parameters are regulated through back propagation algorithm, which can also improve the back propagation process. The clinical experimental results show that the algorithm can accurately classify CT images of different pneumonia than general research recognition algorithm,such as adaboost and svm algorithms, and the revised convolution neural network can prevent over-fitting phenomena in training data.