Predicting M&A success is of critical importance both for the participants of the deal and investors of the related corporations. This paper develops two models for prediction of M&A success which are Logistic regression model and Feed forward neutral network model. 2611 valid samples are included in each model. The advantages and disadvantages are discussed for both models and a comparison between them is conducted to facilitate future prediction.