Optimization Method of Equipment Parameters in Sports Virtual Simulation Laboratory Based on Neural Network Algorithm

Abstract

In order to solve the problem of insufficient interaction in sports virtual simulation laboratory, the optimization method of equipment parameters in sports virtual simulation laboratory is designed based on neural network algorithm. Considering the type of laboratory equipment and the placement position of equipment, the scene of sports virtual simulation laboratory is established, and the effect of the whole scene is viewed from the control perspective. The interface of virtual component library adopts the form of equipment library, and each grid stores one component in turn. In order to strengthen the interaction between equipment and scene, judge the collision between objects and improve the authenticity of scene and equipment simulation. The visual, auditory and tactile parameters are selected to realize multi-modal fusion and interaction according to the relationship between information independence and information intersection. The neural network algorithm is used to establish a model to optimize the laboratory equipment parameters, and the prediction result of the model is the equipment parameters. It can improve the fitness of equipment movement state and present the sports process in the form of virtual simulation.