Reservoir inflow prediction using time lagged recurrent neural networks

Proceedings - 1st International Conference on Emerging Trends in Engineering and Technology, ICETET 2008

Volumn , Issue , 2008, Pages 618-623

  Kote, A ^a   Jothiprakash, V ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Civil engineering; Hydrology; Reservoir inflow prediction; Time lagged recurrent network

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; ELECTRIC FAULT LOCATION; FORECASTING; LIGHTNING; MATHEMATICAL MODELS; NEURAL NETWORKS; RESERVOIRS (WATER); STANDARDS; TECHNOLOGY; TIME SERIES ANALYSIS;

ARTIFICIAL NEURAL NETWORKS; BACK-PROPAGATION THROUGH TIME; CIVIL ENGINEERING; EMERGING TRENDS; GOODNESS OF FITS; HIDDEN NODES; HYDROLOGY; INPUT NODES; INTERNATIONAL CONFERENCES; MAHARASHTRA , INDIA; MEMORY STRUCTURES; NON-LINEAR; NON-LINEAR MODELING; OBSERVED DATA; RECURRENT NETWORKS; RESERVOIR INFLOW PREDICTION; RESERVOIR INFLOWS; RIVER BASINS; SCATTER PLOTS; STANDARD DEVIATION; TIME DELAYING; TIME LAGGED RECURRENT NETWORK; TIME STEPPING; TIME-SERIES; TRAINING AND TESTING; TRIAL-AND-ERROR PROCEDURES;

RECURRENT NEURAL NETWORKS;

EID: 51949119187     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICETET.2008.118     Document Type: Conference Paper

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