Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution
|Title:||Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution||Authors:||Nicolau, Miguel
Osborne, Bruce A.
|Permanent link:||http://hdl.handle.net/10197/8177||Date:||13-Apr-2012||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||Springer||Copyright (published version):||2012 Springer||Keywords:||Grammatical evolution; Real-world applications; Symbolic regression||DOI:||10.1007/978-3-642-29139-5_12||Language:||en||Status of Item:||Peer reviewed||Is 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|
|Appears in Collections:||Business Research Collection|
Biology & Environmental Science Research Collection
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