In this paper we use artificial neural network (ANN) to empirically analyze the liquidity values of the non-floating shares and the influencing factors to China’s stock market in the background of China’s listed companies split share stricture reform. We try to use a proportion which the company’s non-floating shareholders offer compensation to the floating shareholders to test the liquidity values of the non-floating shares and use MATLAP establish a feed-forward BP neural network model to analyze and forecast according to the data of the companies which have announced and actualized their split stricture reform plans. In expansion analysis, we use the perturbation method to measure the influence of these parameters on the liquidity values of the non-floating. As result, the character of the shares, the share structure and the ratio of the shares by the principal shareholder held are the main influencing factors.