smoothing of series

Applications of time series smoothing method in the prediction of product output

时间序列平滑法在产品产量预测中的应用

Establishment of the Holt-Winter forecast model could make decomposing study on time series which has linear trend, seasonal change and random wave, and separately estimate the long-term trend, increase of trend and seasonal wave with combining the exponential smoothing.

建立Holt-Winter预测模型，将具有线性趋势、季节变动和随机波动的时间序列进行分解研究，并与指数平滑法相结合，分别对长期趋势、趋势的增量和季节波动做出估计。

This paper describes the parameter that balance the performance of an algorithm, and then talks about the advanced algorithm including the comparative, statistical, time series and smoothing/ filtering, traffic model and theoretical, and some advanced incident detection techniques, etc.

本文首先提出了度量一种算法优劣的度量基准，紧接着介绍了包括比较法、统计法、时间序列和修正算法，交通和理论模型以及先进的事故探测技术等在内的一系列先进算法。

A new class of exponential smoothing models with the dynamic parameter, including the difference-exponential models, are put forward, it is unnecessary to put any initial value in time series smoothing.

本文提出了动态平滑参数的概念，由此建立了一类不需选取平滑初值、带有动态平滑参数的指数平滑新模型体系，包括差分-指数平滑模型；

For better reconstruction and visualization, the Visualization toolkit ( VTK) is used to make a series of processing on binary slice data, which include 3 D reconstruction, decimating, connectivity detection, smoothing, normals generating, etc.

作者应用可视化工具visualization ToolKit（VTK）和VC++实现了二维数据的三维重建、面片削减、连通性检测、三维平滑等一系列功能。