Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia

Hydrology and Earth System Sciences

Volumn 16, Issue 4, 2012, Pages 1151-1169

  El Shafie, A ^a   Noureldin, A ^b   Taha, M ^a   Hussain, A ^a   Mukhlisin, M ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b ROYAL MILITARY COLLEGE OF CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARISON ANALYSIS; DATA-DRIVEN MODELING; DYNAMIC NEURAL NETWORKS; FORECASTING ACCURACY; HYDROLOGICAL PROCESS; INPUT DELAY NEURAL NETWORKS; MALAYSIA; MEMORYLESS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NEURAL NETWORK MODEL; NONLINEAR STATICS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RAINFALL FORECASTING; RAINFALL SERIES; RIVER BASINS; STATIC AND DYNAMIC; STATIC NETWORKS; STATIC NEURAL NETWORKS; TEMPORAL DIMENSIONS; TEMPORAL RELATIONSHIPS; TIME HORIZONS; TIME SERIES MODELING; TRAINING AND TESTING;

CONTROL EQUIPMENT; FORECASTING; NETWORK ARCHITECTURE; NEURAL NETWORKS;

RAIN;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; HYDROLOGICAL MODELING; NUMERICAL MODEL; RIVER BASIN; TIME SERIES ANALYSIS;

KLANG BASIN; MALAYSIA; SELANGOR; WEST MALAYSIA;

EID: 84859572047     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-16-1151-2012     Document Type: Article

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