Application of the grey theory and the neural network in water demand forecast

Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010

Volumn 2, Issue , 2010, Pages 1070-1073

  Liu, Junping ^a   Chang, Mingqi ^b,c  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

^b CHANG'AN UNIVERSITY   (China)

^c China Irrigation and Drainage Development Center   (China)

Author keywords

Forecast; Grey theory; RBF neural network; Water demand

Indexed keywords

EID: 78149352552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2010.5582996     Document Type: Conference Paper

References (8)

1. Xuekang Yin, Dehong Han. Forecast of Urban Water Demand. Beijing: China Building Industry Press, 2005.
2. Julong Deng. Grey Theory Basis. Wuhan: Huazhong University of Science and Technology Press, 2002, 2.
3. Zhiliang Wang, Minping Xie, Wang Deli. Research and Application of Urban Water Grey Dynamic Forecast Model. Research of Soil and Water Conservation, 2007, 14(4):430-432.
4. Peng Yang, Jinzhui Chen. Application of Improved Grey Forecast Model in Urban Annual Water Demand Prediction. Journal of Water Resources and Water Engineering, 2007, 18(2):80-82.
5. Hongyu Wang, Fang Ma, Kai Yang. Application Research of Grey Metabolism GM(1, 1) Model in Medium and Long-term Urban Water Demand Prediction. Journal of Wuhan University: Engineering, 2004, 37(6):32-35.
6. Lixia Guo, Baosheng Kang. Reconstruction Methods of Scattered Data Based on Micropopulation Genetic Algorithm and RBF Neural Network. Computer Applications and Software, 2008, 25(1):33-35.
7. Mahmut Firat, Mehmet Ali Yurdusev, Mustafa Erkan Turan. Evaluation of artificial neural network techniques for municipal water consumption modeling. Water Resour Manage, 2009, 23: 617-632.
8. H.A. Hefny, A.A.Bahnasawi, A.H.Abdel Wahab, et al. Logical radial basis function networks a hybrid intelligent model for function approximation. Advances in Engineering Software, 1999, 30: 407-417.