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OALib Journal期刊
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Applications of Forecasting Model Based on PCA-LS-SVM
基于PCA 的LS-SVM 预测模型应用

Keywords: principal component,least squares support vector machine,forecasts,oil and gas
主成分
,最小二乘支持向量机,预测,油气

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Abstract:

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.

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