DocumentCode :
2253274
Title :
Experiments with Predicting Algae Blooms
Author :
Ohashi, Orlando
Author_Institution :
LIACC-NIAAD, Porto Univ.
fYear :
2005
fDate :
5-8 Dec. 2005
Firstpage :
175
Lastpage :
176
Abstract :
For some application domains predicting rare values is very important. In this paper we address one such application: the prediction of algae blooms that have a negative impact in the river water quality. We describe a set of experiments designed with the goal of finding the best configuration of a set of modelling techniques on this particular problem
Keywords :
biology computing; water pollution; algae bloom prediction; river water quality; Algae; Humans; Marine animals; Neural networks; Predictive models; Regression tree analysis; Rivers; Support vector machines; Testing; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial intelligence, 2005. epia 2005. portuguese conference on
Conference_Location :
Covilha
Print_ISBN :
0-7803-9366-X
Electronic_ISBN :
0-7803-9366-X
Type :
conf
DOI :
10.1109/EPIA.2005.341289
Filename :
4145948
Link To Document :
بازگشت