By comparing the prediction results of GM(1,1) and BP neural network, the combination of GM and neural model is feasible in oil spectral analysis parameter prediction, which can overcome the deficiency of single model and get good effect.

• 通过比较GM(1,1)模型、神经网络模型的预测结果,融合GM(GreyModel)模型与神经网络模型并构建组合模型进行油液光谱分析参数预测,可以克服单个模型所存在的不足。 结果证明,该组合模型方法在预测中是可行的,预测的误差最小。