Prediction of urban stormwater runoff in Chesapeake bay using neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6676 LNCS, Issue PART 2, 2011, Pages 27-36

  Zhang, Nian ^a  

^a UNIVERSITY OF THE DISTRICT OF COLUMBIA   (United States)

Author keywords

Chesapeake Bay; Levenberg Marquardt Backpropagation Training Algorithm; Recurrent Neural Networks; Urban Runoff Prediction

Indexed keywords

BACKPROPAGATION TRAINING ALGORITHM; CHESAPEAKE BAY; COMPARISON STUDY; HYDROLOGIC CHANGES; LEVENBERG-MARQUARDT; MEAN SQUARED ERROR; PREDICTIVE MODELS; RUNOFF DISCHARGE; RUNOFF FORECAST; STORM WATER RUNOFF; URBAN AREAS; URBAN RUNOFF; URBAN STORMWATER RUNOFF; WATER RESOURCES MANAGEMENT;

ANOXIC SEDIMENTS; BACKPROPAGATION ALGORITHMS; FORECASTING; GAGES; GROUNDWATER; GROUNDWATER POLLUTION; HEAVY METALS; LEARNING ALGORITHMS; POLLUTION; RECURRENT NEURAL NETWORKS; REINFORCEMENT LEARNING; RIVER POLLUTION; RIVERS; SEWAGE; STORM SEWERS; TIME SERIES; WATER RESOURCES;

RUNOFF;

EID: 79957875591     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21090-7_4     Document Type: Conference Paper

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