The performance of three artificial neural network (NN) methods for combining simulated river flows, based on three different neural network structures, are compared. These network structures are; the simple neural network ...
For many good and practical reasons, lumped rainfall-runoff models are widely used to represent a catchment‟s response to rainfall. However, they have some acknowledged limitation, some of which are addressed here using a ...
Despite significant developments, the simple, lumped, conceptual, rainfall-runoff model is still widely used for flood forecasting. What may not be appreciated is that, while such models can often be calibrated to give ...
The multi-layer feed-forward neural network (MLFFNN) is applied in the context of river flow forecast combination, where a number of rainfall-runoff models are used simultaneously to produce an overall combined river flow ...
For over 30 years various micro and macro models have been used for analysing masonry, but no strong consensus within the structural engineering community exists as to usage. Selection remains driven by field scenarios, ...
A new family of mixture models for the model-based clustering of longitudinal data is introduced.
The covariance structures of eight members of this new family of models are given and the associated maximum likelihood ...
Phosphorous has been implicated as the primary cause of the deterioration of surface water quality in Ireland. Extensive water quality surveys revealed that diffuse sources (runoff and subsurface flows) from agricultural ...
Heckman, James J.(University College Dublin. Geary Institute, 2008-12-15)
This paper presents the econometric approach to causal modeling. It is motivated by policy
problems. New causal parameters are defined and identified to address specific policy
problems. Economists embrace a scientific ...