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Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution
Date Issued
2012-04-13
Date Available
2016-12-01T13:08:51Z
Abstract
Accurate measurements of Net Ecosystem Exchange of CO2 between atmosphere and biosphere are required in order to estimate annual carbon budgets. These are typically obtained with Eddy Covariance techniques. Unfortunately, these techniques are often both noisy and incomplete, due to data loss through equipment failure and routine maintenance, and require gap-filling techniques in order to provide accurate annual budgets. In this study, a grammar-based version of Genetic Programming is employed to generate interpolating models for flux data. The evolved models are robust, and their symbolic nature provides further understanding of the environmental variables involved.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2012 Springer
Language
English
Status of Item
Peer reviewed
Part of
Moraglio, A., Silva, S., Krawiec, K., Machado, P. and Cotta, C. Proceedings: Genetic Programming: 15th European Conference (EuroGP 2012) (Lecture Notes in Computer Science Volume 7244)
Conference Details
Genetic Programming: 15th European Conference (EuroGP 2012) Malaga, Spain, 11-13 April 2012
ISBN
9783642291388
This item is made available under a Creative Commons License
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