Prediction of government-owned building energy consumption based on an RReliefF and support vector machine model

作者: Hyojoo Son , Changmin Kim , Changwan Kim , Youngcheol Kang

DOI: 10.3846/13923730.2014.893908

关键词:

摘要: … buildings by using the RReliefF variable selection algorithm, and … In Section 1 we present some material on the RReliefF … our implementation of the RReliefF variable selection algorithm …

参考文章(54)
Kurt Hornik, Maxwell Stinchcombe, Halbert White, Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks Neural Networks. ,vol. 3, pp. 551- 560 ,(1990) , 10.1016/0893-6080(90)90005-6
Işık Yilmaz, Oguz Kaynar, Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils Expert Systems With Applications. ,vol. 38, pp. 5958- 5966 ,(2011) , 10.1016/J.ESWA.2010.11.027
Spyros Makridakis, Accuracy measures: theoretical and practical concerns☆ International Journal of Forecasting. ,vol. 9, pp. 527- 529 ,(1993) , 10.1016/0169-2070(93)90079-3
Chi-Jie Lu, Tian-Shyug Lee, Chih-Chou Chiu, Financial time series forecasting using independent component analysis and support vector regression decision support systems. ,vol. 47, pp. 115- 125 ,(2009) , 10.1016/J.DSS.2009.02.001
Andrew C. Pollock, Alex Macaulay, Mary E. Thomson, Dilek Önkal, Performance evaluation of judgemental directional exchange rate predictions International Journal of Forecasting. ,vol. 21, pp. 473- 489 ,(2005) , 10.1016/J.IJFORECAST.2004.12.006
Igor Pernek, Gregor Stiglic, Peter Kokol, How Hard Am I Training? Using Smart Phones to Estimate Sport Activity Intensity international conference on distributed computing systems workshops. pp. 65- 68 ,(2012) , 10.1109/ICDCSW.2012.34
Jong Jae Lee, Dookie Kim, Seong Kyu Chang, Charito Fe M. Nocete, An improved application technique of the adaptive probabilistic neural network for predicting concrete strength Computational Materials Science. ,vol. 44, pp. 988- 998 ,(2009) , 10.1016/J.COMMATSCI.2008.07.012
Wenjian Wang, Zongben Xu, Jane Weizhen Lu, Three improved neural network models for air quality forecasting Engineering Computations. ,vol. 20, pp. 192- 210 ,(2003) , 10.1108/02644400310465317