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http://dx.doi.org/10.14400/JDC.2015.13.9.177

Sales Prediction of Electronic Appliances using a Convergence Model based on Artificial Neural Network and Genetic Algorithm  

Seo, Kwang-Kyu (Dept. of Management Engineering, Sangmyung University)
Publication Information
Journal of Digital Convergence / v.13, no.9, 2015 , pp. 177-182 More about this Journal
Abstract
The brand and product awareness of Korean electronics companies in the North American market has grown significantly and North American consumers has been recognized as an innovative technology products good performance of Korean electronics appliances. The consumer need of energy saving has led to a rise in market share because Korean electronics appliances have the excellence in energy saving aspects. The expansion of smartphones and mobile devices and the development of smart grid technology can affect electronics market. Domestic companies are continuously develop new product to provide consumers convenient with a variety of additional features combined consumer products. This study proposes a convergence model for sales prediction of electronic appliances using sales data of A company from the North American market. We develop the convergence model for sales prediction based on based on artificial neural network and genetic algorithm. In addition, we validate the superiority of the proposed convergence model by comparing the prediction performance of traditional prediction models.
Keywords
Artificial Neural Network; Genetic Algorithm; Convergence Model; Sales Prediction; Electronic Appliances;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 K. -K. Seo, Development of a Sales Prediction Model of Electronic Appliances using Artificial Neural Networks, Journal of Digital Convergence, Vol. 12, No. 11, pp. 209-214, 2014.   DOI
2 K. -K. Seo, An Application of One-class Support Vector Machines in Content-based Image Retrieval, Expert Systems with Applications, Vol. 33, No. 2, pp. 491-498, 2007.   DOI   ScienceOn
3 C. -W. Chu, G. P. Zhang, A Comparative Study of Linear and Nonlinear Models for Aggregate Retail Sales Forecasting, International Journal of Production Economics, Vol. 86, No. 3, pp. 217-231, 2003.   DOI   ScienceOn
4 J. H. Park, K. -K. Seo, Approximate Life Cycle Assessment of Product Concepts using Multiple Regression Analysis and Artificial Neural Networks, KSME International Journal, Vol. 17, No. 12, pp 1969-1976, 2003.   DOI
5 Z. Guoqiang, B. E. Patuwo, M.Y. Hu, Forecasting with artificial neural networks: The state of the art, International Journal of Forecasting, Vol. 14, No. 1, pp. 35-62, 1998.   DOI   ScienceOn
6 D.E. Rumelhart, G.E. Hinton, R.J. Williams, Learning representations by back-propagating errors, Nature, Vol. 323, pp. 533-536, 1986.   DOI
7 D. C. Park, M.A. El-Sharkawi, R.J. Marks, L.E. Atlas, Electric load forecasting using an artificial neural network, IEEE Transactions on Power Systems, Vol. 6, No.2. pp. 442-449, 1991.
8 K. Iebeling, B. Milton, Designing a neural network for forecasting financial and economic time series, Neurocomputing, Vol. 10, No. 3, pp. 215-236, 1996.   DOI   ScienceOn
9 J. -H. Lee, J. -S. Kim, H. -W. Jang, J. -C. Lee, Drought Forecasting Using the Multi Layer Perceptron (MLP) Artificial Neural Network Model, Journal of Korea Water Resources Association, Vol. 46, No. 12, pp. 1249-1263, 2013.   DOI   ScienceOn
10 W. K. Yeo, Y. M. Seo, S. Y. Lee, H. K. Jee, Study on Water Stage Prediction Using Hybrid Model of ANN and GA, Journal of Korea Water Resources Association, Vol. 43, No. 8, pp. 721-731, 2010.   DOI   ScienceOn
11 Z. Michalewicz, Genetic algorithms + data structures=evolution programs (3rd ed.), Springer-Verlag, 1996.
12 D. T. Pham, G. Jin, Genetic algorithm using gradient-like reproduction operator, Electronics Letters, Vol. 31, No. 18, pp. 1558-1559, 1995.   DOI   ScienceOn
13 D. E. Goldberg, Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, 1989.
14 V. Maniezzo, Genetic evaluation of the topology and weight distribution of neural network, IEEE Transaction of Neural Network, Vol. 5, No. 1, pp.39-53, 1994.   DOI   ScienceOn
15 M. Nasseri, K. Asghari, M.J. Abedini, Optimized scenario for rainfall forecasting using GA coupled with ANN, Expert Systems with Applications, Vol. 35, No. 3, pp. 1415-1421, 2008.   DOI   ScienceOn