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基于ARIMA的猪丹毒预测模型研究
引用本文:徐强,肖建华,陈欣,栾培贤,王洪斌.基于ARIMA的猪丹毒预测模型研究[J].中国预防兽医学报,2012,34(1):41-44.
作者姓名:徐强  肖建华  陈欣  栾培贤  王洪斌
作者单位:东北农业大学动物医学学院,黑龙江哈尔滨,150030
基金项目:哈尔滨市科技创新人才研究专项(2007RFXXN0040)
摘    要:为研究ARIMA时间序列模型预测猪丹毒(SE)的可行性,本实验选取兽医公报发布的我国某省SE的发病数据,对2005年1月~2009年6月该地区的SE发病资料进行模型构建与拟合,采用构建的模型对2009年7月~2009年12月的SE发病率进行预测并验证预测效果.结果显示ARIMA(2,1,0)模型可以拟合既往时间段上的发病率序列,预测结果显示MSE为0.203×10-10、MAPE为0.293,该模型可以预测未来SE的发生.

关 键 词:猪丹毒  时间序列  ARIMA模型  预测

Estabishment of an ARIMA model for prediction of swine erysipelas
XU Qiang , XIAO Jian-hua , CHEN Xin , LUAN Pei-xian , WANG Hong-bin.Estabishment of an ARIMA model for prediction of swine erysipelas[J].Chinese Journal of Preventive Veterinary Medicine,2012,34(1):41-44.
Authors:XU Qiang  XIAO Jian-hua  CHEN Xin  LUAN Pei-xian  WANG Hong-bin
Institution:(College of Veterinary Medicine,Northeast Agricultural University,Harbin 150030,China)
Abstract:The objective of this study is to clarify the feasibility of using ARIMA model to predict the incidence of swine erysipelas(SE).An ARIMA model was established based on the incidence data of SE in the areas from Jan.2005 to Jun.2009 according to the Veterinary Bulletin.Then the constructed model was used to predict the monthly incidence from Jul.2009 to Dec.2009 and the prediction was validated by comparing with the actual incidences.ARIMA(2,1,0) exactly fitted the incidence of the previous monthly incidence from Jan.2005 to Jun.2009,the predicted monthly incidence in Jul.2009 to Dec.2009 by the model was consistent with the actual incidence and the MSE was 0.203×10-10,the MAPE was 0.293.The model could be use to fit exactly the changes of SE incidence and to predict the incidence trends in future.
Keywords:swine erysipelas  time series  ARIMA model  prediction
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