Title: Publication of the cross stream ecosystem comparison. 
Resource Type: document --> guidance / decision support 
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 review the current ecological theories that could help identify models for the prediction of the community structure in aquatic ecosystems. The report compares the performance of a number of classical statistical models, including artificial neural networks, support vector machines and dynamic models. Each model has different properties, with its own advantages and disadvantages. The exploration of community – environment relationships is strengthened when both multivariate and artificial neural network techniques were used. The prediction support vector machines were also promising. Further improvement could be achieved by adding a priori, well established knowledge into the analysis and prediction. 
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.