Combined model matching formula, a multi-model switching method based on online identification was put forward. 结合模型匹配计算公式,提出了基于参数在线辨识的多模型切换方法。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods. 将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测,为原始非平稳时间序列的预测应用拓展了空间。
The experimental result indicates that the combined model has higher precision of prediction and better adaptability, compared with other single time series prediction models. 数据试验结果表明,与单一时间序列预测模型相比,该模型具有较高的预测精度和很好的模型适应性。
Forecasting and Analysis of Logistics Demand Based on Bayesian Combined Model(CM) 基于贝叶斯组合模型(CM)的物流需求预测及分析
Characteristics Study of Single Phase Deep-slot Linear Induction Motor Based on Field-circuit Combined Model(CM) 基于场路结合模型的深槽式单相直线感应电机特性研究