It will be useful to attain a quick and accurate flood forecasting, particularly in a flood-prone
region. The accomplishment of this objective can have far reaching significance by …

In a flood-prone region, quick and accurate flood forecasting is imperative. It can extend the
lead time for issuing disaster warnings and allow sufficient time for habitants in hazardous …

Nowadays, floods have become the widest global environmental and economic hazard in
many countries, causing huge loss of lives and materials damages. It is, therefore …

Accurate water-level prediction is of great significance to flood disaster monitoring. A genetic
algorithm coupling a back-propagation neural network (GA-BPNN) has been adopted as a …

In this paper, a novel ANN flood forecasting model is proposed. The ANN model is
combined with traditional hydrological concepts and methods, taking the initial Antecedent …

Flood prediction methods play an important role in providing early warnings to government
offices. The ability to predict future river flows helps people anticipate and plan for upcoming …

Although artificial neural networks (ANNs) have been applied in rainfall runoff modelling for
many years, there are still many important issues unsolved that have prevented this powerful …

Due to rapid development, the occurrence of flood has become more and more frequent.
However, due to the complex nature and limited knowledge, the conventional hydrological …

Data-driven flow forecasting models, such as Artificial Neural Networks (ANNs), are
increasingly used for operational flood warning systems. In this research, we systematically …

The main focus of this study was to compare the Grey model and several artificial neural
network (ANN) models for real time flood forecasting, including a comparison of the models …