Some important parameters testing have certain error which brings some difficulty to ensure monitoring the production process and the real-time control of some important quality parameters.Because of the error data may be contained in the independent variables and dependent variables of the sample data

which may affect the accuracy of the model

so in this article we use the weighted least-square algorithm to give the punishment of square-errors of each sample different weights to overcome the abnormal influence of the training samples.Using the simulation data from the Pensim simulation platform to establish the weighted least squares vector machine(WLS-SVM)model in the Penicillin Fermentation by using particle swarm optimization(PSO)on the weighted least squares vector machine parameters optimization algorithm

through the simulation experiments show that the algorithm is used for the effectiveness of penicillin fermentation process modeling.