Support for statistical data derived flow of a strong common CSV format, the software occupies system resources is very low, very low impact on the system.
支持导出流量统计数据为通用性强的CSV格式，软件占用系统资源极低，对系统影响极低。
But such result is in the environment besides flow (it is for instance in statistical forms for reporting statistics) in cannot get business data easily.
但这样的结果是在流程之外的环境中无法容易的得到业务数据。
In this paper, how to forecast the traffic flow oft he road by using the known information especially the statistical data in the statistical Yearbook when od survey is impossible is introduced.
主要解决如何实现在无现状调查OD的情况下，充分利用已知信息，特别是《统计年鉴》中的统计数据，预测路段交通量。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
应用推荐