3种预测模型在振动数据预测中的对比研究

摘要

以支持向量回归机、BP神经网络和灰色预测模型GM(1,1),对汽轮机转子的振动数据进行分析预测,并结合实例对3种模型预测结果进行对比分析,得出有一定参考价值的结论.%This paper uses support vector regression,BP neural network and GM (1,1) to predict the vibration datas of the turbine rotor.In the actual case,the predicted results from three models have been compared and analyzed.The conclusion which has a certain reference value can be drawn out.