The Study on Livestock Production Prediction in Heilongjiang Province Based on Support Vector Machine

摘要：

　　This paper uses the support vector machine (SVM)algorithm to study the prediction of livestock production in Heilongjiang province,forms the sample set with the 1985-2010 data in Heilongjiang province,and set up the SVM model between factors and livestock production.Use SVM on the input and output data for training and learning,approximate the implied function relationship by historical data,complete the mapping of the new data series,in order to complete the livestock production prediction for future years,and compare the prediction effects with other methods.The results show that,the prediction accuracy of livestock production of the SVM model is superior to other prediction methods.

关键词： livestock production, support vector machine prediction

作者: Tang Yang Li Cuixia

作者单位: School of Economies and Management,Northeast Agricultural University;Investment and Insurance Depart School of Economics and Management,Northeast Agricultural University.Harbin,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1193-1196

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）