Traditional correlation coefficient method was improved for corridor traffic demand forecast; accumulating and dispersing nodes and correlative influence factors of traffic demand were analyzed.
通过改进传统的相关系数法进行通道交通需求预测，分析了交通需求的相关影响因素。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
The forecast of port's throughputAccording to social demand and channel program goal , Jilin port adopts to produce— need balanced Method and flexible coefficient Method forecast port's throughput;
港口吞吐量预测吉林港根据社会需求和航道规划目标采用产需平衡法和弹性系数法预测港口吞吐量；
The forecast of port's throughputAccording to social demand and channel program goal , Jilin port adopts to produce— need balanced Method and flexible coefficient Method forecast port's throughput;
港口吞吐量预测吉林港根据社会需求和航道规划目标采用产需平衡法和弹性系数法预测港口吞吐量；
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