Prediction of Portuguese Performance Based on Particle Swarm Neural Network Algorithm

Abstract

Aiming at the shortcomings of current prediction model of Portuguese performance, such
as low accuracy and slow speed, a performance prediction model of Portuguese on the basis of the
particle swarm optimization neural network is proposed. First of all, a large number of Portuguese
performance data are collected and preprocessed, then the neural network is used to study the teaching
samples of Portuguese performance, and particle swarm optimization algorithm is used to select
the threshold value, weight value and other parameters of the neural network, so as to establish the
optimal prediction model of Portuguese performance, in the end, the effectiveness and superiority of
the model are compared and tested with the performance data of Portuguese. The results show that
this model can improve the accuracy and reliability of the prediction results, and provide valuable information
for Portuguese teaching.