Title: Publication of ANN model results. 
Resource Type: document --> technical publication --> report 
Country: EU Projects 
Year: 2003 
Author 1/Producer: Paequann Consortium 
Author / Producer Type: EC Project 
Report / download web link (=direct link): http://aquaeco.ups-tlse.fr/index2.htm  
Format (e.g. PDF): PDF 
EUGRIS Keyword(s): Water resources and their management -->Water resources and their management Overview
Short description: The PAEQANN project aims to develop predictive tools that can be easily applied to identify problems in ecosystem functioning resulting in degradation. Ecosystem analysis with empirical statistical and analytical methods is often limited by the spatial complexity and the temporal dynamics of ecological processes. Therefore, alternative mathematical methods have to be developed. Artificial neural networks (ANNs) provide an attractive alternative tool for analysing ecological data and for modelling ecological (effect) relations. This report summarises the results of the ANN models obtained in the PAEQANN project. 
Link to Project(s): PAEQANN Predicting Aquatic Ecosystem Quality using Artificial Neural Networks: Impact of Environmental characteristics on the Structure of Aquatic Communities (Algae, Benthic and Fish Fauna).
Submitted By: Dr Stefan Gödeke WhoDoesWhat?      Last update: 19/07/2007

This site uses cookies to improve your user experience. By using this site you agree to these cookies being set.
To find out more see our Privacy Policy.