Design of Teaching Mode Classification System Based on PSO Algorithm

In the context of the continuous development of Internet +, algorithms are constantly surpassing, and PSO-based algorithms are developing rapidly. PSO is a random heuristic optimization algorithm based on swarm intelligence. As a typical representative of swarm intelligence, PSO has the characteristics of simple principle, few parameters, fast convergence speed, and simple algorithm implementation. It has been proved to be an effective global optimization method, showing great potential. This paper studies the teaching mode classification system design based on the PSO algorithm, introduces the PSO algorithm and related content, expounds the teaching mode classification system design. The optimization of teaching mode classification system design based on POS algorithm must bring significant changes to teaching mode classification. After multiple data tests, the results show that the efficiency of the registration and login module, functional classification module and search module of the teaching mode analysis system has reached 88.12%, 92.03% and 95.02% respectively.