Enhancing sales forecasting by using neuro networks and the popularity of magazine article titles

Hani A. Omar*, Duen-Ren Liu

*此作品的通信作者

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

In this paper, we examine how the popularity information of magazines can be useful for sales forecasting. We propose a sales forecasting model based on Back Propagation Neural Network (BPNN) where the inputs are historical sales and the popularity indexes of magazine article titles. Our proposed model using the popularity of magazine article titles in the forecasting process can improve the accuracy of sales forecasting.

原文English
主出版物標題Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
頁面577-580
頁數4
DOIs
出版狀態Published - 25 8月 2012
事件2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 - Kitakyushu, Japan
持續時間: 25 8月 201228 8月 2012

出版系列

名字Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012

Conference

Conference2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
國家/地區Japan
城市Kitakyushu
期間25/08/1228/08/12

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