1) logistics amount prediction
物流量预测
1.
Thinking of resource and environment constraints of logistics node,the paper brings forward a universal logistics amount prediction method system of logistics node.
考虑物流节点的资源环境约束条件,提出具有普适性的物流节点物流量预测方法体系,将物流节点物流需求分为趋势性、转移性和诱发性物流需求,引入生命周期理论确定物流节点成长曲线,基于供需动态均衡构建Logis-tics模型,确定物流节点物流量,并以豫南口岸物流中心为例进行实证分析,预测结果表明,较之以往预测方法,该方法更为适合物流节点发展的实际,可为物流节点选址、规模的确定、布局和合理化运营提供依据。
2) logistics quantity of year
年物流量预测
3) logistics distribution forecast
物流量分布预测
1.
The paper introduces the principle and method of Entropy-maximizing(EM)model,improves the gravitational model of the four-phases of logistics distribution forecast.
示例表明该方法在物流量分布预测中具有较好的应用前景。
4) logistics demand forecasting
物流需求量预测
1.
Then it briefly describes the general method and process of logistics system forecast, and compares and analyzes many kinds of common logistics forecast methods, and establishes a logistics demand forecasting models based on Grey Residual-Back Propagation Neural Netwo
物流需求量预测是第三方汽车物流企业有效规划运能、制定目标和计划,提高企业的核心竞争力的前提条件。
5) traffic prediction
流量预测
1.
Nonlinear network traffic prediction based on BP neural network;
基于BP神经网络的非线性网络流量预测
2.
Experimental analysis of auto-correlation s effects on traffic prediction of IP network data;
自相关性对IP网络数据流量预测影响的实验分析
3.
Network Traffic Prediction based on ARIMA Model;
基于ARIMA模型的网络流量预测
6) traffic forecast
流量预测
1.
Internet Traffic Forecast;
Internet网络流量预测
2.
After researching on network traffic forecasts by using statistical arithmetic method,a new alarm mechanism is put forward,which will adjust the threshold automatically as well as send alarm messages according to the real network traffic states.
传统的基于流量的网络报警系统往往根据系统配置的固定阈值来判断当前网络流量是否正常,通过运用统计学和预测学对网络流量预测方法进行研究,提出了一种能根据网络实际流量状态自己调整阈值的新型网络报警机制,能有效地发现网络流量异常,从而为评估和优化网络性能提供有力的依据。
补充资料：经验指数预测法(见发生量预测)
经验指数预测法(见发生量预测)
经验指数预测法见发生量预测。
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