The invention belongs to the field of virtual simulation collision detection, and particularly relates to a method for predicting collision detection based on a neural network. The method comprises the following steps: firstly, within a time step length, inputting the movement position of cloth particles and the position of a collided triangle into a neural network; secondly, utilizing a neural network to predict whether cloth particles collide with triangular patches or not; finally, carrying out collision response on the collided particles, and obtaining the final positions of the particles.Compared with a traditional physical collision detection method, the method has the advantages that on the premise that the cloth simulation authenticity is guaranteed, the detection speed of the algorithm is remarkably increased along with increase of the collision detection difficulty, meanwhile, higher stability is shown, and the requirement of a user for real-time performance is met.