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Volumn 2012, Issue , 2012, Pages

Forecasting computer products sales by integrating ensemble empirical mode decomposition and extreme learning machine

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PRODUCTS; EMPIRICAL MODEL DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; EXTREME LEARNING MACHINE; FEED-FORWARD NETWORK; FORECASTING MODELS; HYBRID FORECASTING; HYBRID SALES; INTRINSIC MODE FUNCTIONS; LOCAL CHARACTERISTICS; SIGNAL PROCESSING TECHNOLOGIES;

EID: 84871847425     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2012/831201     Document Type: Article
Times cited : (36)

References (33)
  • 1
    • 78049295934 scopus 로고    scopus 로고
    • Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting
    • 2-s2.0-78049295934 10.1016/j.ijpe.2010.07.004
    • Lu C. J., Wang Y. W., Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting. International Journal of Production Economics 2010 128 2 603 613 2-s2.0-78049295934 10.1016/j.ijpe.2010.07.004
    • (2010) International Journal of Production Economics , vol.128 , Issue.2 , pp. 603-613
    • Lu, C.J.1    Wang, Y.W.2
  • 2
    • 34249301767 scopus 로고    scopus 로고
    • A neural clustering and classification system for sales forecasting of new apparel items
    • DOI 10.1016/j.asoc.2006.01.005, PII S156849460600010X, Soft Computing for Time Series Prediction
    • Thomassey S., Happiette M., A neural clustering and classification system for sales forecasting of new apparel items. Applied Soft Computing Journal 2007 7 4 1177 1187 2-s2.0-34249301767 10.1016/j.asoc.2006.01.005 (Pubitemid 46810392)
    • (2007) Applied Soft Computing Journal , vol.7 , Issue.4 , pp. 1177-1187
    • Thomassey, S.1    Happiette, M.2
  • 3
    • 56049098499 scopus 로고    scopus 로고
    • Sales forecasting using extreme learning machine with applications in fashion retailing
    • 2-s2.0-56049098499 10.1016/j.dss.2008.07.009
    • Sun Z. L., Choi T. M., Au K. F., Yu Y., Sales forecasting using extreme learning machine with applications in fashion retailing. Decision Support Systems 2008 46 1 411 419 2-s2.0-56049098499 10.1016/j.dss.2008.07.009
    • (2008) Decision Support Systems , vol.46 , Issue.1 , pp. 411-419
    • Sun, Z.L.1    Choi, T.M.2    Au, K.F.3    Yu, Y.4
  • 4
    • 78049314546 scopus 로고    scopus 로고
    • A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm
    • 2-s2.0-78049314546 10.1016/j.ijpe.2010.07.008
    • Wong W. K., Guo Z. X., A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm. International Journal of Production Economics 2010 128 2 614 624 2-s2.0-78049314546 10.1016/j.ijpe.2010.07.008
    • (2010) International Journal of Production Economics , vol.128 , Issue.2 , pp. 614-624
    • Wong, W.K.1    Guo, Z.X.2
  • 5
    • 67349144155 scopus 로고    scopus 로고
    • Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry
    • 2-s2.0-67349144155 10.1016/j.knosys.2009.02.005
    • Chang P. C., Liu C. H., Fan C. Y., Data clustering and fuzzy neural network for sales forecasting: a case study in printed circuit board industry. Knowledge-Based Systems 2009 22 5 344 355 2-s2.0-67349144155 10.1016/j.knosys.2009.02.005
    • (2009) Knowledge-Based Systems , vol.22 , Issue.5 , pp. 344-355
    • Chang, P.C.1    Liu, C.H.2    Fan, C.Y.3
  • 6
    • 84868667879 scopus 로고    scopus 로고
    • Sales forecasting for computer wholesalers: A compcarison of multivariate adaptive regression splines and artificial neural networks
    • 10. 1016/j.dss. 2012. 08. 006
    • Lu C. J., Lee T. S., Lian C. M., Sales forecasting for computer wholesalers: a compcarison of multivariate adaptive regression splines and artificial neural networks. Decision Support Systems 2012 54 1 584 596 10. 1016/j.dss. 2012. 08. 006
    • (2012) Decision Support Systems , vol.54 , Issue.1 , pp. 584-596
    • Lu, C.J.1    Lee, T.S.2    Lian, C.M.3
  • 7
    • 49749092339 scopus 로고    scopus 로고
    • Forecasting and operational research: A review
    • 2-s2.0-49749092339 10.1057/palgrave.jors.2602597 ZBL1153.90009
    • Fildes R., Nikolopoulos K., Crone S. F., Syntetos A. A., Forecasting and operational research: a review. Journal of the Operational Research Society 2008 59 9 1150 1172 2-s2.0-49749092339 10.1057/palgrave.jors.2602597 ZBL1153.90009
    • (2008) Journal of the Operational Research Society , vol.59 , Issue.9 , pp. 1150-1172
    • Fildes, R.1    Nikolopoulos, K.2    Crone, S.F.3    Syntetos, A.A.4
  • 8
    • 33747774118 scopus 로고    scopus 로고
    • A hybrid sales forecasting system based on clustering and decision trees
    • DOI 10.1016/j.dss.2005.01.008, PII S0167923605000114
    • Thomassey S., Fiordaliso A., A hybrid sales forecasting system based on clustering and decision trees. Decision Support Systems 2006 42 1 408 421 2-s2.0-33747774118 10.1016/j.dss.2005.01.008 (Pubitemid 44278286)
    • (2006) Decision Support Systems , vol.42 , Issue.1 , pp. 408-421
    • Thomassey, S.1    Fiordaliso, A.2
  • 10
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • DOI 10.1016/j.neucom.2005.12.126, PII S0925231206000385
    • Huang G. B., Zhu Q. Y., Siew C. K., Extreme learning machine: theory and applications. Neurocomputing 2006 70 1-3 489 501 2-s2.0-33745903481 10.1016/j.neucom.2005.12.126 (Pubitemid 44615772)
    • (2006) Neurocomputing , vol.70 , Issue.1-3 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 11
    • 34548158996 scopus 로고    scopus 로고
    • Convex incremental extreme learning machine
    • DOI 10.1016/j.neucom.2007.02.009, PII S0925231207000677
    • Huang G. B., Chen L., Convex incremental extreme learning machine. Neurocomputing 2007 70 16-18 3056 3062 2-s2.0-34548158996 10.1016/j.neucom.2007. 02.009 (Pubitemid 47308612)
    • (2007) Neurocomputing , vol.70 , Issue.16-18 , pp. 3056-3062
    • Huang, G.-B.1    Chen, L.2
  • 12
    • 56549090053 scopus 로고    scopus 로고
    • Enhanced random search based incremental extreme learning machine
    • 2-s2.0-56549090053 10.1016/j.neucom.2007.10.008
    • Huang G. B., Chen L., Enhanced random search based incremental extreme learning machine. Neurocomputing 2008 71 16-18 3460 3468 2-s2.0-56549090053 10.1016/j.neucom.2007.10.008
    • (2008) Neurocomputing , vol.71 , Issue.16-18 , pp. 3460-3468
    • Huang, G.B.1    Chen, L.2
  • 14
    • 78049526620 scopus 로고    scopus 로고
    • Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry
    • 2-s2.0-78049526620 10.1016/j.eswa.2010.07.014
    • Chen F. L., Ou T. Y., Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry. Expert Systems with Applications 2011 38 3 1336 1345 2-s2.0-78049526620 10.1016/j.eswa.2010.07.014
    • (2011) Expert Systems with Applications , vol.38 , Issue.3 , pp. 1336-1345
    • Chen, F.L.1    Ou, T.Y.2
  • 15
    • 84867873323 scopus 로고    scopus 로고
    • Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs
    • 10. 1016/j.knosys. 2012. 07. 002
    • Xia M., Zhang Y., Weng L., Ye X., Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs. Knowledge-Based Systems 2012 36 253 259 10. 1016/j.knosys. 2012. 07. 002
    • (2012) Knowledge-Based Systems , vol.36 , pp. 253-259
    • Xia, M.1    Zhang, Y.2    Weng, L.3    Ye, X.4
  • 16
    • 64949130686 scopus 로고    scopus 로고
    • Financial time series forecasting using independent component analysis and support vector regression
    • 2-s2.0-64949130686 10.1016/j.dss.2009.02.001
    • Lu C. J., Lee T. S., Chiu C. C., Financial time series forecasting using independent component analysis and support vector regression. Decision Support Systems 2009 47 2 115 125 2-s2.0-64949130686 10.1016/j.dss.2009.02.001
    • (2009) Decision Support Systems , vol.47 , Issue.2 , pp. 115-125
    • Lu, C.J.1    Lee, T.S.2    Chiu, C.C.3
  • 17
    • 84863195216 scopus 로고    scopus 로고
    • A hybrid demand forecasting model based on empirical mode decomposition and neural network in TFT-LCD industry
    • 10.1080/01969722.2012.688691
    • Chen K. L., Yeh C. C., Lu T. L., A hybrid demand forecasting model based on empirical mode decomposition and neural network in TFT-LCD industry. Cybernetics and Systems 2012 43 5 426 441 10.1080/01969722.2012.688691
    • (2012) Cybernetics and Systems , vol.43 , Issue.5 , pp. 426-441
    • Chen, K.L.1    Yeh, C.C.2    Lu, T.L.3
  • 18
    • 80052686275 scopus 로고    scopus 로고
    • Integrating independent component analysis and principal component analysis with neural network to predict Chinese Stock Market
    • 382659 10. 1155/2011/382659
    • Liu H., Wang J., Integrating independent component analysis and principal component analysis with neural network to predict Chinese Stock Market. Mathematical Problems in Engineering 2011 2011 15 382659 10. 1155/2011/382659
    • (2011) Mathematical Problems in Engineering , vol.2011 , pp. 15
    • Liu, H.1    Wang, J.2
  • 19
    • 79952958333 scopus 로고    scopus 로고
    • Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
    • 2-s2.0-77950833881 10.1016/j.eswa.2010.03.012
    • Lu C. J., Integrating independent component analysis-based denoising scheme with neural network for stock price prediction. Expert Systems with Applications 2010 37 10 7056 7064 2-s2.0-77950833881 10.1016/j.eswa.2010.03.012
    • (2010) Expert Systems with Applications , vol.37 , Issue.10 , pp. 7056-7064
    • Lu, C.J.1
  • 21
    • 0142227017 scopus 로고    scopus 로고
    • Applications of Hilbert-Huang transform to non-stationary financial time series analysis
    • 2-s2.0-0142227017 10.1002/asmb.501 ZBL1063.62144
    • Huang N. E., Wu M. L., Qu W., Long S. R., Shen S. S. P., Applications of Hilbert-Huang transform to non-stationary financial time series analysis. Applied Stochastic Models in Business and Industry 2003 19 3 245 268 2-s2.0-0142227017 10.1002/asmb.501 ZBL1063.62144
    • (2003) Applied Stochastic Models in Business and Industry , vol.19 , Issue.3 , pp. 245-268
    • Huang, N.E.1    Wu, M.L.2    Qu, W.3    Long, S.R.4    Shen, S.S.P.5
  • 22
    • 79961127156 scopus 로고    scopus 로고
    • Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
    • 2-s2.0-79961127156 10.1016/j.renene.2011.06.023
    • Guo Z., Zhao W., Lu H., Wang J., Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model. Renewable Energy 2012 37 1 241 249 2-s2.0-79961127156 10.1016/j.renene.2011.06.023
    • (2012) Renewable Energy , vol.37 , Issue.1 , pp. 241-249
    • Guo, Z.1    Zhao, W.2    Lu, H.3    Wang, J.4
  • 23
    • 80155154044 scopus 로고    scopus 로고
    • Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
    • 10.1016/j.trc.2011.06.009
    • Wei Y., Chen M. C., Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks. Transportation Research Part C 2012 21 1 148 162 10.1016/j.trc.2011.06.009
    • (2012) Transportation Research Part C , vol.21 , Issue.1 , pp. 148-162
    • Wei, Y.1    Chen, M.C.2
  • 24
    • 80052078099 scopus 로고    scopus 로고
    • Ensemble empirical mode decomposition: A noise assisted data analysis method
    • 10.1142/S1793536909000047
    • Wu Z. H., Huang N. E., Ensemble empirical mode decomposition: a noise assisted data analysis method. Advances in Adaptive Data Analysis 2009 1 1 1 41 10.1142/S1793536909000047
    • (2009) Advances in Adaptive Data Analysis , vol.1 , Issue.1 , pp. 1-41
    • Wu, Z.H.1    Huang, N.E.2
  • 25
    • 84858001572 scopus 로고    scopus 로고
    • A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting
    • 10.1016/j.apenergy.2011.12.030
    • Tang L., Yu L., Wang S., Li J., Wang S., A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting. Applied Energy 2012 93 432 443 10.1016/j.apenergy.2011.12.030
    • (2012) Applied Energy , vol.93 , pp. 432-443
    • Tang, L.1    Yu, L.2    Wang, S.3    Li, J.4    Wang, S.5
  • 28
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: The state of the art
    • PII S0169207097000447
    • Zhang G., Eddy Patuwo B., Hu M. Y., Forecasting with artificial neural networks: the state of the art. International Journal of Forecasting 1998 14 1 35 62 2-s2.0-0003123930 10.1016/S0169-2070(97)00044-7 (Pubitemid 128340470)
    • (1998) International Journal of Forecasting , vol.14 , Issue.1 , pp. 35-62
    • Zhang, G.1    Eddy Patuwo, B.2    Y. Hu, M.3
  • 29
    • 2042515742 scopus 로고    scopus 로고
    • Neural networks in business: A survey of applications (1992-1998)
    • PII S0957417499000160
    • Vellido A., Lisboa P. J. G., Vaughan J., Neural networks in business: a survey of applications (1992-1998). Expert Systems with Applications 1999 17 1 51 70 2-s2.0-2042515742 10.1016/S0957-4174(99)00016-0 (Pubitemid 129664853)
    • (1999) Expert Systems with Applications , vol.17 , Issue.1 , pp. 51-70
    • Vellido, A.1    Lisboa, P.J.G.2    Vaughan, J.3
  • 30
    • 0346250790 scopus 로고    scopus 로고
    • Practical selection of SVM parameters and noise estimation for SVM regression
    • DOI 10.1016/S0893-6080(03)00169-2
    • Cherkassky V., Ma Y., Practical selection of SVM parameters and noise estimation for SVM regression. Neural Networks 2004 17 1 113 126 2-s2.0-0346250790 10.1016/S0893-6080(03)00169-2 ZBL1075.68632 (Pubitemid 38019003)
    • (2004) Neural Networks , vol.17 , Issue.1 , pp. 113-126
    • Cherkassky, V.1    Ma, Y.2


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