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Improved non-linear transfer function and neural network methods of flow routing for real-time forecasting
non-linear transfer function neural network methods flow routing real-time forecasting
2009/12/4
Data-based methods of flow forecasting are becoming increasingly popular due to their rapid development times, minimum information requirements, and ease of real-time implementation, with transfer fun...
Comparison of quadratic and non-linear programming (QP and NLP) optimization models in groundwater management
quadratic and non-linear programming optimization models groundwater management
2009/12/4
This project is concerned with the comparison of two algorithms used in groundwater management models, based on Quadratic Programming (QP) and Non-linear Programming (NLP) models.A quadratic objective...
Analysis of Non-Linear Rainfall-Runoff Process
Analysis Non-Linear Rainfall-Runoff Process
2009/10/27
Rainfall runoff phenomena in small watersheds are favorably modelled using
the kinematic wave approach. The present investigation considers excess rainfall
as time dependent but ignores spatial effe...
Neural network modelling of non-linear hydrological relationships
Neural network modelling non-linear hydrological relationships
2009/5/13
Two recent studies have suggested that neural network modelling offers no worthwhile improvements in comparison to the application of weighted linear transfer functions for capturing the non-linear na...
Thresholds, switches and hysteresis in hydrology from the pedon to the catchment scale：a non-linear systems theory
pedon catchment scale non-linear systems theory
2009/5/6
Hysteresis is a rate-independent non-linearity that is expressed through thresholds, switches, and branches. Exceedance of a threshold, or the occurrence of a turning point in the input, switches the ...
A non-linear neural network technique for updating of river flow forecasts
Auto-Regressive Exogenous-input model neural network
2009/3/24
A non-linear Auto-Regressive Exogenous-input model (NARXM) river flow forecasting output-updating procedure is presented. This updating procedure is based on the structure of a multi-layer neural netw...