Enhancing Sales Forecasting by using Neuro Networks and the Popularity of Magazine Article Titles
| dc.citation.epage | 580 | en_US |
| dc.citation.spage | 577 | en_US |
| dc.contributor.author | Omar, Hani A. | en_US |
| dc.contributor.author | Liu, Duen-Ren | en_US |
| dc.contributor.department | 資訊管理與財務金融系 註：原資管所+財金所 | zh_TW |
| dc.contributor.department | Department of Information Management and Finance | en_US |
| dc.date.accessioned | 2014-12-08T15:30:50Z | |
| dc.date.available | 2014-12-08T15:30:50Z | |
| dc.date.issued | 2012 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.doi | 10.1109/ICGEC.2012.87 | en_US |
| dc.identifier.isbn | 978-0-7695-4763-3 | en_US |
| dc.identifier.issn | 1949-4653 | en_US |
| dc.identifier.journal | 2012 SIXTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING (ICGEC) | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/ICGEC.2012.87 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/22021 | |
| dc.identifier.wosnumber | WOS:000319285800141 | |
| dc.language.iso | en_US | en_US |
| dc.subject | Forecasting | en_US |
| dc.subject | Neural-Network | en_US |
| dc.subject | Pupularity | en_US |
| dc.subject | Google Search engine | en_US |
| dc.title | Enhancing Sales Forecasting by using Neuro Networks and the Popularity of Magazine Article Titles | en_US |
| dc.type | Proceedings Paper | en_US |