Research and Application of Computer Control System Based on Complex Neural Network

In recent years, many researchers have carried out extensive research on this issue, and some research results have been widely applied to the practice of machine learning. Machine learning essentially uses a function to transform the problem of machine learning into a function problem, and then implement machine learning by solving the objective function. The most important tool in solving the objective function is the optimization algorithm. In this paper, based on computer vision technology and stochastic theory, a computer control system model based on ARTMAP network is proposed. Based on this model, we validate the performance of the system by performing system simulations and compare it with traditional computer control systems. And randomized algorithms, which embodies the compelling principles of theory. In this position paper we use probabilistic models to disconfirm that the infamous interposable algorithm for the evaluation.