Artificial neural network modelling of macrophyte indices based on physico-chemical characteristics of water

Sensitivity analysis of the artificial neural network outputs in simulation of the evaporation process at different climatologic regimes

(2012) Vahid Nourani et al.   ADVANCES IN ENGINEERING SOFTWARE

AQUAFLORA: A predictive model based on diatoms and macrophytes for streams water quality assessment

(2012) M.J. Feio et al.   ECOLOGICAL INDICATORS

Implementation of a self-organizing map for investigation of impoundment impact on fish assemblages in a large, lowland river: Long-term study

(2012) T. Penczak et al.   ECOLOGICAL MODELLING

Modeling microalgal abundance with artificial neural networks: Demonstration of a heuristic ‘Grey-Box’ to deconvolve and quantify environmental influences

(2012) David F. Millie et al.   ENVIRONMENTAL MODELLING & SOFTWARE

River macrophyte indices: not the Holy Grail!

(2012) BENOÎT O. L. DEMARS et al.   FRESHWATER BIOLOGY

Fish distribution predictions from different points of view: comparing associative neural networks, geostatistics and regression models

(2011) A. Palialexis et al.   HYDROBIOLOGIA

Modeling the chemical and toxic water status of the Scheldt basin (Belgium), using aquatic invertebrate assemblages and an advanced modeling method

(2010) Muriel Gevrey et al.   ENVIRONMENTAL POLLUTION

Towards harmonization of ecological quality classification: establishing common grounds in European macrophyte assessment for rivers

(2010) Sebastian Birk et al.   HYDROBIOLOGIA

Estimating monthly total nitrogen concentration in streams by using artificial neural network

(2010) Bin He et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Artificial neural network modeling of the river water quality—A case study

(2009) Kunwar P. Singh et al.   ECOLOGICAL MODELLING

Self-organizing feature map (neural networks) as a tool to select the best indicator of road traffic pollution (soil, leaves or bark of Robinia pseudoacacia L.)

(2009) A. Samecka-Cymerman et al.   ENVIRONMENTAL POLLUTION

Neural networks in fisheries research

(2008) Iragavarapu Suryanarayana et al.   FISHERIES RESEARCH

Distribution of aquatic macrophytes in contrasting river systems: A critique of compositional-based assessment of water quality

(2008) Benoît O.L. Demars et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Implementation of artificial neural networks (ANNs) to analysis of inter-taxa communities of benthic microorganisms and macroinvertebrates in a polluted stream

(2007) Byunghyuk Kim et al.   SCIENCE OF THE TOTAL ENVIRONMENT