Aiming at the problem that the froth characteristics are complicated and not conducive to the modeling control, this paper proposes a bubble image feature selection method based on sparse neural networks. Compared with most sparse learning methods, the linear regression model is used as the loss function. The neural network model closer to the nonlinear actual industrial process is used as the loss function, and the $L_{2,1