1) Rolling identificationoptimization
滚动学习-预测
2) rolling learning-prediction
滚动学习-预报
1.
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.
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。
3) rolling learning
滚动学习
1.
The PNN model was trained by the way of rolling learning to revise the error timely.
在对稀疏样本数据进行预处理的基础上,采用递推式非邻均值生成法对样本数据进行扩充,以此建立可产生任意密集预测数据的过程神经网络模型,并采用在线滚动学习的方法进一步提高所建立的预测模型的精度。
4) rolling prediction
滚动预测
1.
Using the rolling prediction,residual errors of the prediction for original reliability parameters are checked,considering the data metabolism and reducing the calculation at the same time.
针对电力系统可靠性原始参数匮乏的情况,利用灰色系统小样本的特点,运用滚动预测对可靠性原始参数的预测进行残差检验,在考虑数据新陈代谢的同时又能减少计算量。
5) progressive reservoir prediction
滚动式储层预测
6) on line rolling prediction model
滚动预测模型
1.
The on line rolling prediction model of traffic flow at signalized intersections based on fuzzy logic system and neural network is proposed.
提出了基于模糊神经网络技术的信号交又口交通量滚动预测模型。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条