In the second chapter, correlative knowledge of the traffic flow theory and current traffic flow forecast methods are introduced.
第二章主要阐述交通流的理论相关知识、当前常用的交通流量预测方法。
Based on the literature, we establish the forecast mathematical model depend on a set of technical parameters by the fuzzy mathematics correlative knowledge.
本文在文献的基础上，利用模糊数学相关知识建立根据一组工艺参数进行轧制性能预测的数学模型。
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。
In order to solve the problem, correlative aspects must be improved and optimized involving request forecast, purchase order decision and comprehensive evaluation on suppliers.
通过分析得出要解决上述问题，主要应该在采购决策的重要相关环节如需求预测、采购订货决策和供应商的评价与选择方面加以改进与优化。
The paper analyzes the model of TPLC management, and using the correlative knowledge of Data Mining researches emphatically the customer segmentation and the product forecast in the TPLC.
本文对电信产品生命周期管理模型进行了分析，并且运用数据挖掘的相关知识着重对模型中的客户细分和产品预演进行了研究。
The paper analyzes the model of TPLC management, and using the correlative knowledge of Data Mining researches emphatically the customer segmentation and the product forecast in the TPLC.
本文对电信产品生命周期管理模型进行了分析，并且运用数据挖掘的相关知识着重对模型中的客户细分和产品预演进行了研究。
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