Comparing BP and RBF neural network for forecasting the resident consumer level by MATLAB

Proceedings of the 2008 International Conference on Computer and Electrical Engineering, ICCEE 2008

Volumn , Issue , 2008, Pages 169-172

  Caiqing, Zhang ^a   Ruonan, Qi ^a   Zhiwen, Qiu ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD FORECASTING; ELECTRICAL ENGINEERING; MATLAB; RADIAL BASIS FUNCTION NETWORKS;

BASIC THEORIES; BP-NEURAL NETWORKS; DISTRIBUTION DENSITIES; FORECAST ACCURACIES; MATLAB SIMULATIONS; NETWORK STRUCTURES; NEURAL NETWORK FORECASTS; RBF NETWORKS; RBF NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 62949112459     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCEE.2008.35     Document Type: Conference Paper

References (9)

1. China Statistical Yearbook 2007
2. GE philosophy, Sun Zhiqiang, Neural network theory and MATLABR 2007. Electronics Industry Publishing House. 2007
3. Dong Changhong. Neural network and application[M]. Beijing: National Defence Industry Press. 2005
4. Neural Network Toolbox. Math Work. 2007
5. Yang Wei, Wang Ende, Chang Chen. Application BP neural network forecasting urban water demand [J], Resources and Environment, vol. 24, No. 3 2003.
6. XU F, LU JG, SUN Y X. Application of neural network in image processing[J]. Information and Control.2003, 32(4): 345-348.
7. WEN X, ZHOU L, LIX, et a.l Simulation and application of neural network for MATLAB [M]. Beijing: Science Press,.2003.
8. Hippert H S, Bunn DW, Souza R C. Large neural net-works for electricity load forecasting: are they overfitted [J]. International Journal of Forecasting.2005, 21(3): 425-434.
9. Ghiassi M, Saidane H, Zimbra D K. A dynamic artificial neural network model for forecasting time series e-vents [J]. International Journal of Forecasting. 2005, 21(2): 341-362.