SVM modeling for glutamic acid fermentation process

It is completed the introduction and analysis for modeling method of glutamic acid fermentation process. Then modeling method using support vector machine is adopted, select a grid search-crossover integrated validation method to choose the parameters of the model in modeling, making the prediction model more accurate. Finally the comparison of SVM and BP networks model, simulation results show that the model prediction accuracy using support vector machine approach to establish higher for glutamic acid fermentation process under the same conditions.