支持向量机在效益函数预报中的应用

Application of Support Vector Machine Method in Prediction of Profit Function

采用支持向量机(SVM)技术对效益函数进行预报,并基于滚动学习-预报策略处理过程的时变特性。最后结合青霉素生产实际数据,对罐批效益函数进行在线预报,结果显示了SVM预报方法的有效性和鲁棒性。

The SVM is employed to predict the profit function, where a rolling learning-prediction procedure is introduced to deal with the time variant property of the process. The simulation in penicillin production shows the high accuracy and robustness of the SVM predictor.