The time prediction method resolves the problem of uncertain execution times and provides a reference solution for real-time scheduling systems in uncertain environments.
采用时间预测的方法，可以较好地解决任务执行时间不确定性所带来的影响，为不确定环境下的实时调度系统提供一种很好的参考解决方案。
Prediction models and criteria are key factors in time prediction of landslides.
滑坡时间预报的核心是预报模型和预报判据的建立。
Synergetic prediction Model of Slope instability is a new Slope instability time prediction Model.
斜坡的协同预报模型是一种新的斜坡失稳时间预测模型。
This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.
介绍和分析了最小二乘和卡尔曼滤波方法在时间预报中的应用。
This paper focus on the research of load balancing algorithm and parallel execution time prediction for parallel computing systems.
本文主要研究并行计算系统中的负载平衡算法与并行执行时间预测问题。
It is proved that the proposed method can significantly improve the prediction accuracy and meet the requirement of the real-time prediction.
结果表明，该预测模型具有较高的精度，同时也能够满足实时性的要求。
In this paper, the time - sequence model of traffic flow is based on the improved BP neural network, and this model can be used for short time prediction of traffic flow.
本文采用改进型BP神经网络建立起交通流的时间序列模型，该模型可用于短期内道路交通流量的预测。
This paper presents a hybrid model for urban arterial travel time prediction based on the so-called state space neural networks (SSNN) and the extended Kalman Filter (EKF).
提出了一种基于状态空间神经网络(SSNN)和拓展卡尔曼滤波(ekf)的混合式行程时间预测模型。
The model can be used for real time prediction of flow and sediment transport in multiple connected river channels and is suitable for the area where topography map is not sufficient.
该模型的特点是对河道地形要求不高，能够满足水沙输移实时预报的要求。
Combining heartbeat strategy with grey prediction method, a dynamic heartbeat strategy was designed, and the prediction model was presented, as well as a real-time prediction strategy.
结合心跳策略和灰色预测方法，设计了一种动态心跳机制，并给出了预测模型和实时预测策略；
Secondly, we summarized the main methods from the time prediction and the space prediction based on thoroughly analysis of the research harvest about landslide prediction all over the world.
其次，在对国内外滑坡预测预报研究成果深入分析的基础上，从滑坡的时间预测预报、空间预测预报两个方面总结了滑坡预测预报研究的主要方法。
Link travel time prediction is an important part of the Intelligent Transportation system, forecasting results affect the function validity of ITS related subsystems (ATIS and ATMS etc) directly.
路段旅行时间预测是智能交通系统的一项重要内容，预测效果直接关系到AT IS和ATMS等ITS相关子系统功能的有效发挥。
Since urban travel times are stochastic and uncertain, a model for addressing urban travel time prediction by using transport information granular computing theory based on rough set was proposed.
由于城市道路交通问题具有不确定性和不精确性，故采用基于粗糙集的交通信息提取计算理论建立城市道路行程时间预测模型。
Since urban travel times are stochastic and uncertain, a model for addressing urban travel time prediction by using transport information granular computing theory based on rough set was proposed.
由于城市道路交通问题具有不确定性和不精确性，故采用基于粗糙集的交通信息提取计算理论建立城市道路行程时间预测模型。
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