Design and Study of Mechanical Monitoring Terminal Monitoring System Basedon Reel Neural Network

Abstract

With the development of the times, the society is slowly progressing, the era of information technology has come. With the research of computer technology and the development of artificial intelligence technology, various algorithms have been put forward and popularized. Among them are widely used expert algorithms, genetic algorithms, and a special co product neural network algorithm. In this paper, the mechanical monitoring terminal monitoring system is designed by using the reel neural network. After consulting a large number of literatures at home and abroad and watching the relevant models and starting to model them simply, this paper uses the existing resources of the laboratory to apply distributed network control through the use of multiple computers to assemble the central control system, so as to carry out experimental simulation, and get the analysis results. The final experimental results show that the co product neural network algorithm has better application in the monitoring system than other algorithms, and the data capture speed is faster and the analysis is more accurate.