An Automatic Grading Model for Learning Assessment

Particle swarm optimization (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimization problem in a search space. In this paper, a PSO-based artificial neural network algorithm is proposed to automatically grading the learning results. Basically, the PSO algorithm is utilized to adjust the connection weights of the selected ANN topology. Taken mandarin learning as example, we introduced the PSO-based ANN algorithm to grading mandarin learning, the experimental results shown it's an effective method.