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:基于最小二乘支持向量回归的销售预测方法是为了预测论文的销售。在研究中,在研究中使用最小二乘支持向量回归的销售预测能力。光方位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.WE使用MAPE来评估最小二乘支持向量回归预测模型。在命令上,应用于NEWARTER网络以预测销售以显示最小二乘支持向量回归预测模型的预测性能与BP神经网络相比。实验结果表明,最小二乘支持向量回归比BP神经网络的精度非常高。

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