Application of Computer Artificial Intelligence Technology to Control Engineering in Mechanical Automation and Electronic Engineering

This paper proposes an artificial intelligence network architecture based on software-defined network. The system has two independent characteristics of centralized control, distributed routing, control and forwarding, and has strong scalability and programmability. This project intends to use electrical control methods to collect massive amounts of various types of information from the base network, and analyze it through big data and artificial intelligence methods to obtain basic network characteristic data. The interference suppression algorithm based on local vision is studied. The attacked category network is set as an authentication factor and fixed parameters are set. The corresponding control design algorithm is established, and the generated algorithm can realize the local visibility of interference to a certain extent by optimizing the deception loss, diversity loss and distance loss. The published images of machine control items are tested, and the results show that the proposed algorithm has good destruction-resistance.