Trophic state assessment using hybrid classification tree-artificial neural network

Trophic state assessment using hybrid classification tree-artificial neural network

The trophic state is one of the significant environmental impacts that must be monitored and controlled in any aquatic environment. This phenomenon due to nutrient imbalance in water strengthened with global warming, inhibits the natural system to progress. With eutrophication, the mass of algae in...

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Bibliographic Details
Main Authors: Ronnie Sabino Concepcion II, Pocholo James Mission Loresco, Rhen Anjerome Rañola Bedruz, Elmer Pamisa Dadios, Sandy Cruz Lauguico, Edwin Sybingco
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2020-03-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
aquaponics
assessment
artificial neural network
modelling tree
trophic state
Online Access:http://ijain.org/index.php/IJAIN/article/view/408

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