Broiler Price Forecasting Model with Wavelet Transform

摘要：

The broiler price forecasting plays a crucial important role in the poultry breeding industry because it is beneficial to maximizing the profit and minimizing the risk. Its goal is to accurately predict the broiler price in future based on the history data. ARMA is the classical time series prediction method and wavelet transform is well known to work well for reducing the noise of the data. In this paper, we perform ARMA with wavelet transform to get high accuracy of the broiler price forecasting.

关键词： price forecasting time series ARMA wavelet transform

作者: Xudong Lin Piyuan Lin Shangwei Yan Peijie Huang

作者单位: College of Informatics, South China Agricultural University, Guangzhou 510642, China

会议类型: 国际会议

会议名称: The 1st International ELID-Grinding Conference(第一届镜面磨削技术国际会议)

会议地点: 长沙

会议语种:英文

页码: 658-663

在线出版日期: 2008-06-12（万方平台首次上网日期，不代表论文的发表时间）