Ensemble approach for time series analysis in demand forecasting: Ensemble learning
暂无分享,去创建一个
[1] E. André,et al. Consumer misbehaviour: Promiscuity or loyalty in grocery shopping , 1997 .
[2] Sargur N. Srihari,et al. Decision Combination in Multiple Classifier Systems , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[3] G. Kushwaha. Operational Performance through Supply Chain Management Practices , 2012 .
[4] Josef Kittler,et al. Combining classifiers: A theoretical framework , 1998, Pattern Analysis and Applications.
[5] Jian Pei,et al. Classification: Basic Concepts , 2012 .
[6] Liu Yue,et al. Demand Forecasting by Using Support Vector Machine , 2007, Third International Conference on Natural Computation (ICNC 2007).
[7] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .
[8] Marcelo J. Villena,et al. Dynamics and stability in retail competition , 2015, Math. Comput. Simul..
[9] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[10] Konstantinos Nikolopoulos,et al. Supply chain forecasting: Theory, practice, their gap and the future , 2016, Eur. J. Oper. Res..
[11] J. Winch,et al. Supply Chain Management: Strategy, Planning, and Operation , 2003 .
[12] Wei Tang,et al. Ensembling neural networks: Many could be better than all , 2002, Artif. Intell..
[13] Tom Van Woensel,et al. Demand seasonality in retail inventory management , 2014, Eur. J. Oper. Res..
[14] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[15] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..