IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
Log On
About IAHRDirectoryCommitteesMy IAHRNews & JournalseLibraryeShopEventsJoin IAHRWorld CongressDonate
spacer.gif
spacer.gif eLibrary
spacer.gif eLibrary
You are here : eLibrary : IAHR World Congress Proceedings : 32nd Congress - Venice (2007) : THEME B: Data Acquisition and Processing For Scientific Knowledge and Public Awareness. : Intelligent system application for flow forecasting, case study: neural approach in kashkan river b...
Intelligent system application for flow forecasting, case study: neural approach in kashkan river basin, iran
Author : Zakermoshfegh Mohammad, Yazdandoost Farhad, Ghalkhani Hossein, Bozorgy Babak , Mirzaee Mehdi
River flow forecasting is required to be provided by a wide range of data of river systems. Since there are a lot of parameters with uncertainities and non-linear relationships, the calibration of conceptual or physically-based models is often a difficult and time consuming procedure. So it is preferred to implement a heuristic black box model to perform a non-linear mapping between the input and output spaces without detailed consideration of the internal structure of the physical process. In this paper, the capability of artificial neural networks (ANNs) for stream flow forecasting in Kashkan River in west of Iran is investigated and compared to a NAM model which is a lumped conceptual model with shuffled complex evolution (SCE) algorithm for auto calibration. The most popular ANN namely Multi Layer Perceptron (MLP) network is introduced and implemented. The results show that the discharge can be more adequately forecasted by this kind of ANN compared to the NAM model.
File Size : 902,700 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 32nd Congress - Venice (2007)
Article : THEME B: Data Acquisition and Processing For Scientific Knowledge and Public Awareness.
Date Published : 01/07/2007
Download Now