1.
Research of ARIMA Forecasting Technology for Traffic Volume Time Series
交通量时间序列ARIMA预测技术研究
2.
Chaotic Analysis and Prediction for Traffic Flow Time Series;
交通流量时间序列混沌特性分析及预测研究
3.
Real-Time Short-Term Traffic Flow Adaptive Forecasting Method Based on Time Series Analysis;
基于时间序列分析的短时交通流量实时自适应预测
4.
The time-series method has come into wide use in short-term traffic prediction.
时间序列方法在短时交通预测中应用广泛。
5.
A Time Series Analysis of Injury Caused by Traffic Accidents from 1996 to 2003 in China;
1996~2003年全国交通事故伤害的时间序列分析
6.
Traffic Prediction Method Based on Multi-parameter Status Time Series
基于多参数状态时间序列的交通状态预测方法
7.
Traffic Incidents Analysis of Tunnel Based on Time Series Data Mining
基于时间序列挖掘的隧道交通事件分析
8.
Research on Prediction Methods for Mobile Communicatin Traffic Series
移动通讯话务量时间序列预测方法研究
9.
Nonlinear Characteristics of Statistical Time Sequence of Circulation Quantity in Library
图书流通量统计时间序列的非线性特性
10.
The Dynamic Predict Model of the Transportation Load Based on Heredity Arithmetic BP Network Time Series Method;
基于遗传神经网络时间序列法的交通荷载动态预测
11.
Research on Time Series Data Mining and the Application to Traffic Flow Forecasting;
时间序列数据挖掘的研究以及在交通流预测上的应用
12.
APPLICATION RESEARCH OF TIME SERIES ANALYSIS ON PASSENGER FLOW FORECAST OF RAIL TRANSIT
时间序列分析在轨道交通客流预报中的应用研究
13.
Inter-well connectivityanalysis based on nonlinear time series
非线性时间序列井间连通性分析方法
14.
An Extension of Vector Sequence's B-orthogonality in Banach Space
Banach空间向量序列B-正交及推广
15.
Short time counts
短时（间）交通量调查
16.
By clustering of traffic flow time series, the typical traffic fluctuation patterns can he found.
采用聚类分析方法对交通流时间序列进行分析可以发现典型的交通流变化模式。
17.
The Prediction of the Passing Rates of CET-4 by the Principle of Time Sequence Analysis
运用时间序列预测CET-4考试通过率
18.
A time series data set is a sequence of random variables indexed by time.
时间序列数据是以时间为指标的一个随机变量序列。