基于支持向量机的通信装备采购费用预测模型构建

The Establishment of Predicting Model in Communications Equipment Acquisition Cost Based on Support Vector Machine

高科技通信装备采购耗资巨大,对通信装备采购费用进行预测分析势在必行。介绍了支持向量机（support vector machines,SVM）非线性回归估计理论,利用SVM方法,经过4个过程构建出通信装备采购费用预测模型,并以某型无线电台为实例对模型进行了验证,最后总结了SVM方法的费用预测基本步骤。

The high technology communications equipment is purchased hugely, and predicting the acquisition cost of communications equipment is imperative. The paper introduces the non-linear regression theory of support vector machine（SVM）, and establishes the communications equipment acquisition cost predicting model by the method of support vector machine in four steps, and validates the model by military radio transceiver. At last, the basic step of cost prediction by support vector machine method is summed up.