1) h-step prediction
h步预测
2) multi-step forecast
多步预测
1.
GKF-based error analysis of multi-step forecast for maneuvering target;
GKF算法下对机动目标多步预测的误差分析
3) multi-step prediction
多步预测
1.
Adaptively controlling algorithm based on neural network of multi-step prediction was proposed for the industrial processes.
针对工业过程的特点和控制要求,提出一种基于多步预测的神经网络自适应控制算法。
2.
Due to the autocorrelation of the direct prediction errors,a new direct cutting-error multi-step prediction method is proposed.
简要概述了基于神经网络的大滞后非线性系统多步预测器的实现,在分析直接多步预测中的误差自关联问题的基础上,提出一种较为准确的去误差直接预测方法,引用鲁棒性好的PID型多步预测目标函数对滞后非线性系统实现预测控制。
3.
Considering chaotic time series multi-step prediction, Multi-step direct prediction model based on partial least squares (PLS) is proposed in this paper, where PLS, the method for predicting a set of dependent variables form a large set of predictors, is used to model the dynamic evolution between the space points and the corresponding future points.
针对混沌序列局域一阶多步预测问题,提出了基于偏最小二乘回归的混沌时间序列局域直接多步预测模型,偏最小二乘用于混沌时序重构相空间中演化轨迹前后相点信息间的建模。
4) single-step prediction
单步预测
1.
A scheme of model reference adaptive inverse control based on single-step prediction is proposed for the nonlinear system.
针对非线性系统,提出一种基于单步预测的模型参考自适应逆控制方案。
5) step-ahead prediction
步长预测
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