关键词: 青霉素发酵过程, 核目标度量, 尺度缩放, 最小二乘向量机, 预测

Abstract: A new prediction method of penicillin fed-batch fermentation based on kernel target alignment （KTA） and least squares support vector machines （LSSVM） was proposed to deal with input variable selection. Firstly，input variables were selected by analyzing the factors which affected penicillin concentration，then，the KTA feature rescaling method was used to rescale input variables. Finally，the simulation data from Pensim simulation platform was used to establish the LSSVM model in the penicillin fed-batch fermentation by using chaos particle swarm optimization （CPSO） on the LSSVM parameters optimization. The root mean square error （RMSE） of the proposed method was 0.0179，whereas the RMSE of LSSVM was 0.0276，showing better prediction and generalization.

Key words: penicillin fed-batch fermentation, kernel target alignment, rescaling, least squares support vector machines, prediction