Gavin J. Bowden

发表

REAL-TIME DEPLOYMENT OF ARTIFICIAL NEURAL

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2012 .

Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a river

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2005 .

Ant colony optimisation of a general regression neural network for forecasting water quality

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2002 .

Input determination for neural network models in water resources applications. Part 1—background and methodology

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2005 .

Forecasting chlorine residuals in a water distribution system using a general regression neural network

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2006, Math. Comput. Model..

An Evaluation of Methods for the Selection of Inputs for an Artificial Neural Network Based River Model

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2006 .

Optimal division of data for neural network models in water resources applications

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2002 .

Real‐time deployment of artificial neural network forecasting models: Understanding the range of applicability

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2012 .

Data transformation for neural network models in water resources applications

Holger R. Maier, Graeme C. Dandy, Gavin J. Bowden, 2003 .

Toward long-lead operational forecasts of drought: An experimental study in the Murray-Darling River Basin

Gavin J. Bowden, Ana P. Barros, A. Barros, 2008 .