DocumentCode :
328373
Title :
Application of artificial neural networks in hydrological modeling: a case study of runoff simulation of a Himalayan glacier basin
Author :
Mazumdar, H.S. ; Pandey, Prem Chandra
Volume :
1
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
971
Abstract :
The simulation of runoff from a Himalayan glacier basin using artificial neural network (ANN) is presented. The performance of ANN model is found superior compared to the energy balance model and the multiple regression model. The ANN is faster in learning and exhibits excellent system generalization characteristics.
Keywords :
geophysics computing; glaciology; neural nets; rivers; Chhota Shigri glaciology; Himachal Pradesh; Himalayan glacier basin; Himalayas; India; artificial neural network; geophysics computing; hydrological modelling; hydrology; model; mountain catchment; neural net; river; runoff simulation; simulation; Artificial neural networks; Asia; Computer aided software engineering; Ice; Intelligent networks; Predictive models; Rivers; Snow; Solar heating; Solar radiation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.714073
Filename :
714073
Link To Document :
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