Development and Application of Mechanical CAD Model Base System for Experimental Platform Based on Neural Network

In this paper, a knowledge base model and a reasoning control system were designed by using neural network principle and BP algorithm derivation process in combination with the characteristics of university experimental platform, and the frame structure of mechanical CAD system of the whole experimental platform was constructed. Then, based on the case study of virtual simulation experiment of CAD model base system for automatic assembly of laboratory products, the rationality and effectiveness of applying feedforward neural network and BP algorithm to CAD system of experimental platform were verified, and the automatic design of mechanical products was realized. The research on the application of virtual simulation experiment CAD model base can provide reference for the construction and application development of laboratory platform of smart city universities in China.