A self organizing map (SOM) guided rule based system for freshwater tropical algal analysis and prediction

Citation

Malek Abd Rashid, Sorayya Bibi Malek and Salleh, Aishah and Baba, Mohd Sapiyan and Syed Ahmad Abdul Rahman, Sharifah Mumtazah (2011) A self organizing map (SOM) guided rule based system for freshwater tropical algal analysis and prediction. Scientific Research and Essays, 6 (25). art. no. 1179EBA40193. pp. 5279-5284. ISSN 1992-2248

Abstract

This paper describes the feasibility study of applying a hybrid combination of Kohonen self organizing feature maps (SOM) and a rule based system in predicting the biomass of selected algae division (Chlorophyta) at tropical Putrajaya Lake (Malaysia). The system was trained and tested on an over five years of limnological time-series data sampled from Putrajaya Lake. Results from trained SOM were used to extract rules of relationships between input variables and the Chlorophyta biomass which was used to construct a rule based system. Selected input variables were water temperature, Secchi depth and nitrate nitrogen (NO3-N). The rules extracted conformed to findings as postulated in literatures. The overall rule based system yielded an accuracy of 73%.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.5897/SRE11.866
Publisher:	Academic Journals
Keywords:	Chlorophyta; Kohonen self organizing feature maps; Prediction; Rule based system
Depositing User:	Nabilah Mustapa
Date Deposited:	03 Dec 2015 08:26
Last Modified:	18 Oct 2018 04:06
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5897/SRE11.866
URI:	http://psasir.upm.edu.my/id/eprint/23121
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