Predicting estuarine algal blooms utilising neural network modelling - A preliminary investigation

MODSIM05 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings

Volumn , Issue , 2005, Pages 2373-2379

  Coad, P ^a   Cathers, B ^b   Van Senden, D ^c  

^a Hornsby Shire Council   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c Manly Hydraulics Laboratory   (Australia)

Author keywords

Algal bloom; Coastal resource management; Neural network

Indexed keywords

ALGAL BLOOMS; ALGAL SPECIES; ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL A; COASTAL RESOURCES; DATA PREPROCESSING; DATA PREPROCESSING TECHNIQUE; DATA SETS; DEGREE OF CERTAINTY; EARLY WARNING SYSTEM; EASTERN AUSTRALIA; ENVIRONMENTAL CONDITIONS; FINANCIAL SUPPORT; FRESHWATER ENVIRONMENTS; INDIVIDUAL MODELS; INTERNAL MODELS; INTERNAL NETWORK; MANAGEMENT REGIME; MODEL OUTPUTS; MODEL RESULTS; MULTI LAYER PERCEPTRON; NETWORK DEVELOPMENT; NEURAL NETWORK MODELLING; OUTPUT LAYER; PREDICTION HORIZON; PREDICTIVE ABILITIES; PREDICTIVE TOOLS; PRELIMINARY ANALYSIS; SELECTION ERROR; SIGMOID ACTIVATION FUNCTION; TIME-SCALES; TRAINING ALGORITHMS; BACK-PROPAGATION TRAINING ALGORITHMS; PERCEPTRON ARCHITECTURE; SOUTH-EASTERN AUSTRALIA;

BACKPROPAGATION ALGORITHMS; CHLOROPHYLL; COMPUTER SIMULATION; DATA HANDLING; DECISION MAKING; ESTUARIES; FORECASTING; NETWORK MANAGEMENT; BACKPROPAGATION; MULTILAYER NEURAL NETWORKS;

NEURAL NETWORKS; DECISION MAKING;

EID: 80053120160     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Bishop, C. 1995. Neural networks for pattern recognition, Oxford University Press.
2. Haykin, S. 1994. Neural Networks. Englewood Cliffs, NJ, Prentice-Hall.
3. Lee, J. H. W., Y. Huang, et al. 2003. Neural network modelling of coastal algal blooms. Ecological Modelling 159(2-3): 179-201.
4. Maier, H. R. 1995. A review of Artificial Neural Networks . Department of Civil and Environmental Engineering. The University of Adelaide.
5. Manly Hydraulic Laboratory MHL, 1998. Berowra Creek Estuary Processes Study Estuarine Water Quality. NSW Department of Commerce.
6. Nancarrow, S. and J. Wood 2000. Algal Contingency Plan. Sydney Metropolitan/South Coast Regional Algal Coordinating Committee, NSW Department of Land and Water Coanservation.
7. StatSoft, Inc. 2004. STATISTICA (data analysis software system), version 7.