Jayawardena, A W,
Environmental and hydrological systems modelling / by A W Jayawardena. - First edition. - 1 online resource (536 pages) : 141 illustrations
chapter 1 Introduction -- chapter 2 Historical development of hydrological modelling -- chapter 3 Population dynamics -- chapter 4 Reaction kinetics -- chapter 5 Water quality systems -- chapter 6 Longitudinal dispersion -- chapter 7 Time series analysis and forecasting -- chapter 8 Artificial neural networks -- chapter 9 Radial basis function (RBF) neural networks -- chapter 10 Fractals and chaos -- chapter 11 Dynamical systems approach of modelling -- chapter 12 Support vector machines -- chapter 13 Fuzzy logic systems -- chapter 14 Genetic algorithms (GAs) and genetic programming (GP)
Mathematical modelling has become an indispensable tool for engineers, scientists, planners, decision makers and many other professionals to make predictions of future scenarios as well as real impending events. As the modelling approach and the model to be used are problem specific, no single model or approach can be used to solve all problems, and there are constraints in each situation. Modellers therefore need to have a choice when confronted with constraints such as lack of sufficient data, resources, expertise and time.
9780203927441
10.1201/b16395 doi
Ecology--Simulation methods.
Environmental sciences--Mathematics.
Hydrologic models.
GB656.2.H9 / J393 2013
551.480151
Environmental and hydrological systems modelling / by A W Jayawardena. - First edition. - 1 online resource (536 pages) : 141 illustrations
chapter 1 Introduction -- chapter 2 Historical development of hydrological modelling -- chapter 3 Population dynamics -- chapter 4 Reaction kinetics -- chapter 5 Water quality systems -- chapter 6 Longitudinal dispersion -- chapter 7 Time series analysis and forecasting -- chapter 8 Artificial neural networks -- chapter 9 Radial basis function (RBF) neural networks -- chapter 10 Fractals and chaos -- chapter 11 Dynamical systems approach of modelling -- chapter 12 Support vector machines -- chapter 13 Fuzzy logic systems -- chapter 14 Genetic algorithms (GAs) and genetic programming (GP)
Mathematical modelling has become an indispensable tool for engineers, scientists, planners, decision makers and many other professionals to make predictions of future scenarios as well as real impending events. As the modelling approach and the model to be used are problem specific, no single model or approach can be used to solve all problems, and there are constraints in each situation. Modellers therefore need to have a choice when confronted with constraints such as lack of sufficient data, resources, expertise and time.
9780203927441
10.1201/b16395 doi
Ecology--Simulation methods.
Environmental sciences--Mathematics.
Hydrologic models.
GB656.2.H9 / J393 2013
551.480151