@inproceedings{678cc3f2c71b425885cfdcfc3f8a10db,
title = "Enhancing sales forecasting by using neuro networks and the popularity of magazine article titles",
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.",
keywords = "Forecasting, Google search engine, Neural-network, Pupularity",
author = "Omar, {Hani A.} and Duen-Ren Liu",
year = "2012",
month = aug,
day = "25",
doi = "10.1109/ICGEC.2012.87",
language = "English",
isbn = "9780769547633",
series = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",
pages = "577--580",
booktitle = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",
note = "2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 ; Conference date: 25-08-2012 Through 28-08-2012",
}