The study of a forecasting sales model for fresh food

Expert Systems with Applications

Volumn 37, Issue 12, 2010, Pages 7696-7702

  Chen, Chen Yuan ^a   Lee, Wan I ^b   Kuo, Hui Ming ^c   Chen, Cheng Wu ^b,d   Chen, Kung Hsing ^e  

^a NATIONAL PINGTUNG UNIVERSITY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^c SHU TE UNIVERSITY   (Taiwan)

^d NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^e Hi Health Technology Co Ltd   (Taiwan)

Author keywords

BPNN; Fresh food; Logistic regression; Moving average

Indexed keywords

BACKPROPAGATION; CONSUMER BEHAVIOR; CUSTOMER SATISFACTION; FORECASTING; NEURAL NETWORKS; RETAIL STORES;

BACK PROPAGATION NEURAL NETWORKS; BPNN; FRESH FOOD; LOGISTIC REGRESSIONS; MOVING AVERAGE METHOD; MOVING AVERAGES; OPERATING CHARACTERISTICS; PURCHASING BEHAVIORS;

SALES;

EID: 77957844114     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.04.072     Document Type: Article

References (8)

1. Fan, L. S. (2003). The study for the convenience fresh food consumer behavior of the large scale convenience store in Taiwan. Master Thesis of Department of Food Science, Tunghai University.
2. Handan, A. C., Ayse, C. Y., Zeki, A. R. B., & Mehmet, A. S. (2007). Comparison of logistic regression model and classification tree: An application to postpartum depression data. Expert Systems with Applications, 32, 987-994.
3. Lien, Y. S. (2004). Sales forecasting model of fresh good for convenient stores - A case study of 7-eleven. Master Thesis of Shu Te University.
4. Lin, C. H. (2009). Using neural networks as a support tool in the decision making for insurance industry. Expert Systems with Applications, 36(3), 6914-6917.
5. Mijung, K. (2009). Two-stage logistic regression model. Expert Systems with Applications, 36(3, Part 2), 6727-6734.
6. Pindyck, R. S., & Rubinfeld, D. L. (1998). Econometric models and economic forecasts (4th ed.). McGraw-Hill.
7. Shu, L. L. (2009). A new two-stage hybrid approach of credit risk in banking industry. Expert Systems with Applications, 36, 8333-8341.
8. Wu, C. H. (2009). Behavior-based spam detection using a hybrid method of rulebased techniques and neural networks. Expert Systems with Applications, 36(3), 4321-4330.