The segment fuzzy BP Neural Network is adopted to predict the passenger traffic volume of railways in data mining based on analyzing the data feature of railway passenger tickets.
在分析铁路客票数据特征的基础上，提出采用分段模糊BP神经网络对铁路客运量进行数据挖掘预测。
The flight segment volume is influenced by many kinds of factors, such as the region economy, geography, tourism and the season and so on.
航段运量受到区域经济、地理、旅游和季节等多种因素的影响，单一预测模型无法适用于所有航段。
The intersection of sweep volume with complicated surface normal is transformed into computation of intersection between triangular mesh and directed line segment.
将扫描体与复杂曲面法矢的求交问题，转化为三角网格与有向线段之间的求交计算。
Experimental result indicated that, support vector machine used in flight segment volume is effective.
实验结果表明，支持向量机用于航空运量的预测是可行有效的。
Experimental result indicated that, support vector machine used in flight segment volume is effective.
实验结果表明，支持向量机用于航空运量的预测是可行有效的。
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