Rainfall-runoff modelling using three neural network methods

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3070, Issue , 2004, Pages 166-171

  Cigizoglu, H Kerem ^a   Alp, Murat ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b GENERAL DIRECTORATE OF STATE HYDRAULIC WORKS   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

FORWARD ERROR BACK PROPAGATION (FFBP); GENERALIZED REGRESSION NEURAL NETWORK (GRNN); MULTI LINEAR REGRESSION (MLR); RAINFALL-RUNOFF MODELLING;

NEURAL NETWORKS;

EID: 9444245344     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24844-6_20     Document Type: Conference Paper

References (11)

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3. Cigizoglu, H.K., and Kisi, O. (2005) Flow Prediction by two Back Propagation Techniques Using k-fold Partitioning of Neural Network Training Data, Nordic Hydrology, (in press).
4. Cigizoglu, H.K. (2004) Estimation and forecasting of daily suspended sediment data by multi layer perceptrons, Advances in Water Resources, 27, 185-195.
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7. Cigizoglu, H.K, (in press) Application of Generalized Regression Neural Networks to Intermittent Flow Forecasting and Estimation, ASCE Journal of Hydrologic Engineering.
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10. Specht, D.F. (1991) A general regression neural network, IEEE Transactions on Neural Networks, 2(6), 568-576.
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