Applying Genetic Algorithm Combining Operation Tree to Predict Algae of Techi Reservoir Using Landsat 8 Data View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

Li Chen, Mohammad Jamal, Basmah Alabbadi, Tai-Sheng Wang, Chih-Hung Tan

ABSTRACT

This paper proposes genetic algorithm combining operation tree (GAOT) and applies it to estimate the bacillariophyta algae of Techi reservoir using Landsat 8 data. GAOT is a data mining method, used to automatically discover the relationships among nonlinear systems. The main advantage of GAOT is to optimize appropriate types of function and their associated coefficients simultaneously. In the case study, this GAOT described above combining with Landsat 8 seven bands was employed. These results are then verified with in situ algae data of Techi reservoir. The results show that the GAOT generates accurate equation and has better performance than linear regression method. More... »

PAGES

1143-1149

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12524-018-0768-0

DOI

http://dx.doi.org/10.1007/s12524-018-0768-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104249963


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