支持向量机回归方法在船价指数预测中的应用

Application of Support Vector Machine Regression Method in Prediction of Ship's Price Index

采用一种改进的支持向量机回归算法对船价指数进行预测,并与常规的回归建模方法进行比较。同时应用实例进行论证,估算结果证明了该算法在船价指数预测中的有效性和实用性。

The support vector machines （SVM）, a new general machine learning method based on the frame of statistical learning theory, is an effective method of processing the non-liner classification, regression and probability density. A modified support vector regression （SVR） was adopted to predict the ship＇s price index, and the prediction results were compared with those of ordinary methods. The numerical results showed that the practicability and effectiveness of this algorithm in the prediction of ship＇s price index.