%0 Journal Article
%T Data stream prediction model based on weighted moving average<br>基于加权移动平均的数据流预测模型*
%A MENG Fan-rong
%A ZHUANG Peng
%A YAN Qiu-yan
%A <br>孟凡荣
%A 庄朋
%A 闫秋艳
%J 计算机应用研究
%D 2009
%I 
%X For the sake of improving the computational efficiency,this paper proposed a new prediction model which based on sliding window in this issue. In this model,stored and processed only data in current sliding window.In order to eliminate the prediction deviation caused by small data set,proposed a stream prediction algorithm based on weighted moving average method (WMA_LRA).At last, after analyzing the house fire data stream generated by FDS 4.0,WMA_LRA algorithm shows the prediction results,and it is proved that WMA_LRA algorithm can improve the computational efficiency and the prediction accuracy efficiently.
%K data stream prediction
%K weighted moving average method
%K regression analysis<br>数据流预测
%K 加权移动平均
%K 回归分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=6450FED5AACE8996CEC6EAAAED0E38C5&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=48334FF981A12041&eid=953B68498C2A8B81&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=12