The quality of paste backfill is a multiple factor-influenced problem with nonlinear characteristic.It is very difficult to establish paste backfill quality model by straight use of the mathematical statistics method.In order to reduce the number and cost of test,the model of backfill quality is established by the neural network and is obviously superior to the traditional regression analysis method.The relationship model of slump of paste backfill with such main influencing factors as slurry concentration,dosages of cement and minute granule material is established,it is used to effectively forecast slump of paste backfill material.