Then, we make prediction with moving exponentialaverage model after the analysis of the travel time series. Finally, we present reasonable justification.
通过分析行程时间时间序列的时变特性，利用指数平滑模型进行预测，最后提出合理的修正方法。
2
Experimental results show that the predicted results by use of the algorithm approximate well to real ones and are more accurate compared to algorithms based on the exponentialaverage method.
实验结果表明，使用该算法进行预测得到的预测值接近真实值，准确性高于指数平均预测算法。
3
With the assumption that the component processing time is exponential distribution, components' average queueing time in the system was calculated by queueing theory.