The use of artificial neural networks (ANNs) in problems related to water resources has
received steadily increasing interest over the last decade or so. The related method of the …

Ecological data are considered to be difficult to analyze because numerous biological and
environmental factors are involved in a complex manner in environment–organism …

Artificial neural networks (ANNs) have been widely used to model environmental processes.
The ability of ANN models to accurately represent the complex, non-linear behaviour of …

As a result of rapid economic development, ecological environmental problems have
become increasingly serious. Ecological vulnerability (EV) assessment can scientifically …

In this paper we present an overview of the most important sources of uncertainty when
analysing the least cost way to improve water quality. The estimation of the cost …

Functional groups of phytoplankton make possible various classifications among taxa and
this approach has been receiving a growing scientific interest. We compared three …

Abstract Hybrid Genetic Algorithm (GA)-Self organizing map (SOM) network is explored for
the first time in determination of regime of operation of heat transfer in porous medium …

Abstract Hybrid Genetic Algorithm (GA)-supervised Kohonen (SK) map is explored for the
decision support system in the operation of porous ceramic matrix (PCM)-based burners …

Due to the complexity and non-linearity of most ecological problems, artificial neural
networks (ANNs) have attracted attention from ecologists and environmental scientists in …

In compliance with the requirements of the EU Water Framework Directive, monitoring of the
ecological and chemical status of Catalan river basins (NE Spain) is carried out by the …