@inproceedings{075b7c46e24a4b73b33861f3a29f4847,
title = "Ecological application of evolutionary computation: Improving water quality forecasts for the Nakdong River, Korea",
abstract = "Water quality is an important global issue, requiring effective management, which needs good predictive tools. While good methods for lake water quality prediction have previously been developed, accurate prediction of river water quality has hitherto been difficult. This project combines process-model and data mining approaches through evolutionary methods, resulting in tools for more effective water management. Although the work is still in its preliminary stages, error rates of the predictive models are already around half those resulting from representative applications of either pure process-based or pure data mining approaches.",
author = "Kim, \{Dong Kyun\} and Bob Mckay and Haisoo Shin and Lee, \{Yun Geun\} and Nguyen, \{Xuan Hoai\}",
year = "2010",
doi = "10.1109/CEC.2010.5586060",
language = "English",
isbn = "9781424469109",
series = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010",
booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010",
note = "2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 ; Conference date: 18-07-2010 Through 23-07-2010",
}