DocumentCode :
2096955
Title :
Combining a neural network with deterministic chaos theory using phase space reconstruction for daily rainfall-runoff forecasting
Author :
Chettih, Mohamed ; Chorfi, Khaled ; Mouattah, Kaddour
Author_Institution :
Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering Faculty of Technology, Amar Telidji University, Laghouat, Algeria
fYear :
2015
fDate :
28-30 April 2015
Firstpage :
1
Lastpage :
7
Abstract :
Chaotic analysis of hydrological series revealed the presence of chaotic structures. As such, a Chaotic Neural Network model was proposed for daily rainfall-runoff. The approach is based on the combination of the series generated by the reconstruction of the phase space according to the method of Takens, in an artificial neural network. The results are very encouraging and open the prospects for other intelligent hybrid models taking into account the long dependency and multiscale effect optimized by genetic algorithms.
Keywords :
Chaos; Correlation; Delays; Fractals; Neural networks; Time series analysis; Trajectory; Chaotic Neural Network model; Forecast; Phase space reconstruction; Rainfall-Runoff;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Programming and Systems (ISPS), 2015 12th International Symposium on
Conference_Location :
Algiers, Algeria
Type :
conf
DOI :
10.1109/ISPS.2015.7244983
Filename :
7244983
Link To Document :
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