首页> 外文会议>IEEE international conference on information management and engineering >Sales prediction method by least squares support vector regression
【24h】

Sales prediction method by least squares support vector regression

机译:最小二乘支持向量回归的销售预测方法

获取原文

摘要

Sales prediction method based on least squares support vector regression is presented to predict the sales in the paper.In the study.mechanical production sales are used to study the prediction ability for sales by least squares support vector regression.Least squares support vector regression prediction model includes 3 input nodes and 1 input node.We employ MAPE to evaluate the least squares support vector regression prediction model.In order to.BP neural network is applied to predict the sales to show the prediction performance of the least squares support vector regression prediction model compared with BP neural network.The experimental results indicate that least squares support vector regression is very higher accuracy than BP neural network.
机译:本文提出了一种基于最小二乘支持向量回归的销售预测方法来预测销售量。本研究采用机械生产销售量来通过最小二乘支持向量回归来研究销售量的预测能力。最小二乘支持向量回归预测模型包括3个输入节点和1个输入节点。我们使用MAPE评估最小二乘支持向量回归预测模型。为了应用BP神经网络预测销售量,以显示最小二乘支持向量回归预测模型的预测性能实验结果表明,最小二乘支持向量回归的准确性比BP神经网络高得多。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号