%0 Journal Article
%T Applications of Forecasting Model Based on PCA-LS-SVM<br>基于PCA 的LS-SVM 预测模型应用
%A HU Jian-Ce
%A <br>胡剑策
%J 计算机系统应用
%D 2012
%I 
%X Identification and prediction ofoil and gas reservoirs are popular research topic today. Based on logging data, the proposed PCA-based LS-SVM forecasting model is applied identify oil and gas reservoirs, comparing with artificial neural network prediction model. The results show that the model＇s performance is stronger than other models, has a certain value.
%K principal component
%K least squares support vector machine
%K forecasts
%K oil and gas<br>主成分
%K 最小二乘支持向量机
%K 预测
%K 油气
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA0537D1B4E0018D652533&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=B31275AF3241DB2D&sid=ED01F5AE50BE09C0&eid=954CE65414DD94CA&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=6