首页> 外文会议>International Conference on Robotics, Electrical and Signal Processing Techniques >Business Forecasting System using Machine Learning Approach
【24h】

Business Forecasting System using Machine Learning Approach

机译:采用机器学习方法的业务预测系统

获取原文
获取外文期刊封面目录资料

摘要

Forecasting system can help any business to predict its future sale, profit and loss. So it is very useful while launching a new product or manufacturing existing products. In this work, a business forecasting system is designed and implemented to forecast the amount of future sale of products using Machine Learning (ML). ML algorithms build a pattern from input variables then make decision. Use of big data technology in researches also increasing. By combining big data and ML together powerful predictive systems can be designed. So, big data processing technology has been used in this work to prepare data for training purpose of the proposed system. Prediction accuracy of the proposed system varied 99% to 75% for different products and mean absolute percentage error (MAPE) is 7.32%. So the proposed system is very much efficient to predict future sale.
机译:预测系统可以帮助任何企业预测其未来的销售,损益。因此,在推出新产品或制造现有产品时非常有用。在这项工作中,设计并实施了业务预测系统,以预测使用机器学习(ML)的未来产品销售量。 ML算法构建来自输入变量的模式,然后做出决定。在研究中使用大数据技术也在增加。通过组合大数据和ML在一起可以设计强大的预测系统。因此,在这项工作中使用了大数据处理技术,以准备拟议系统的培训目的数据。不同产品的提出的系统的预测精度为99%至75%,平均绝对百分比误差(MAPE)为7.32%。因此,所提出的系统非常有效地预测未来销售。

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