rarely used spare parts

According to this, the thesis does some research on support vector machines(SVMs)based forecasting method for rarely used spare parts demand.
基于此,本文研究了基于支持向量机的不常用备件需求预测方法。

计算机科学技术

To address this problem above, the thesis makes efforts on application of multiple support vector machines (SVM) to forecast rarely used spare parts demand via designing an integrated forecasting support system.
本文引入基于有限样本统计学习理论的支持向量机回归方法,预测不常用备件需求。