关键词: 支持向量机, 统计学习理论, 主成分分析, 产量预测

Abstract: The production of the byproduct in natural gas enterprise is greatly affected by the market vibration，the forecast of the byproduct production usually relies on the experience of the people concerned.The amount of work is large，but the efficiency is relatively low.The statistical analysis method and the traditional machine learning method have some limitations in the application in this field.So a new machine learning method—Support Vector Machine，in the background of the enterprise is introduced.It can solve the forecast problem by means of Support Vector Machine method.It is proved that by using the support vector machine，the enterprise’s meet can be met，and it can also produce satisfactory result.

Key words: Support Vector Machine（SVM）, statistical learning theory, Principal Components Analysis（PCA）, forecast of production