Measurement of merger and acquisition performance based on artificial neural network

The paper studied the performance of merger and acquisition (M&A) through using the artificial neural network. We proposed the index system with five types index. We set up the measurement model of M&A performance according to M&A motives, payment, M&A pricing, M&A synergy effect, M&A mode, post-M&A integration ability. In our model, we considered the variables from the beginning of M&A to M&A deal completed, even some time after completion of deal. And we use the artificial neural network to solve the model, and we analyzed the dynamics of arithmetic in the solution of the model, we use the learning arithmetic to reflect the changes of variables to the arithmetic from beginning to end.