1) 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。
2) 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。
3) prediction of species distribution
物种分布预测
4) logistics quantity of year
年物流量预测
5) 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。
6) current distribution meter
电流分布测量器
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