Abstract. The development of a system for the automated creation of flood forecast models is presented. The system concept is based on building rainfall-runoff models using Fuzzy Logic. Beginning with the discussion of manual discharge forecast of a flood event, the structure of special fuzzy models is pointed out on the basis of an existing rainfall-runoff model. The parallels to the manual forecast calculation are specified and referred to the problems with the generation of complex rainfall-runoff models. It is then shown, how these problems can be solved. The algorithm and it’s implementation in a development system is described for an almost completely automated generation for fuzzy rainfall-runoff models. Additionally practical foreca...
The present study investigates the ability of fuzzy rules/logic in modeling rainfall for South Weste...
The main goal of this work is to model flood waves based on runoff and precipitation data. We utiliz...
Over the last decade, neural networks-based flood forecasts systems have been increasingly used in ...
International audienceProviding forecasts for flow rates and water levels during floods have to be a...
This system forecasts in water level in Pyay riverstate. Water level is forecasted by using water le...
This study developed Mamdani-type fuzzy logic model to simulate daily discharge as a function of soi...
This study presents the development of artificial neural network _ANN_ and fuzzy logic _FL_ models f...
A methodology is proposed for constructing a flood forecast model using the adaptive neuro-fuzzy inf...
[[abstract]]A methodology is proposed for constructing a flood forecast model using the adaptive neu...
The flood situation in Bangkok and the way in which it has evolved is described in this study. The ...
In this study, a simplified fuzzy logic system with uniform partitions in the input space is propose...
Sistemas de previsão de cheias podem ser adequadamente utilizados quando o alcance é suficiente, em ...
In this study, a simplified fuzzy logic system with uniform partitions in the input space is propose...
Estimates of flood discharge with various risks of exceedance are needed for a wide range of enginee...
In the last decades, several data-driven models have been developed to perform the real time flood f...
The present study investigates the ability of fuzzy rules/logic in modeling rainfall for South Weste...
The main goal of this work is to model flood waves based on runoff and precipitation data. We utiliz...
Over the last decade, neural networks-based flood forecasts systems have been increasingly used in ...
International audienceProviding forecasts for flow rates and water levels during floods have to be a...
This system forecasts in water level in Pyay riverstate. Water level is forecasted by using water le...
This study developed Mamdani-type fuzzy logic model to simulate daily discharge as a function of soi...
This study presents the development of artificial neural network _ANN_ and fuzzy logic _FL_ models f...
A methodology is proposed for constructing a flood forecast model using the adaptive neuro-fuzzy inf...
[[abstract]]A methodology is proposed for constructing a flood forecast model using the adaptive neu...
The flood situation in Bangkok and the way in which it has evolved is described in this study. The ...
In this study, a simplified fuzzy logic system with uniform partitions in the input space is propose...
Sistemas de previsão de cheias podem ser adequadamente utilizados quando o alcance é suficiente, em ...
In this study, a simplified fuzzy logic system with uniform partitions in the input space is propose...
Estimates of flood discharge with various risks of exceedance are needed for a wide range of enginee...
In the last decades, several data-driven models have been developed to perform the real time flood f...
The present study investigates the ability of fuzzy rules/logic in modeling rainfall for South Weste...
The main goal of this work is to model flood waves based on runoff and precipitation data. We utiliz...
Over the last decade, neural networks-based flood forecasts systems have been increasingly used in ...