Publication:
Analysis of algal growth using kohonen self organizing feature map (SOM) and its prediction using rule based expert system

Simple item page
dc.citedby3
dc.contributor.authorMalek S.en_US
dc.contributor.authorSalleh A.en_US
dc.contributor.authorAhmad S.M.S.en_US
dc.contributor.authorid35069976500en_US
dc.contributor.authorid7003809022en_US
dc.contributor.authorid24721182400en_US
dc.date.accessioned2023-12-28T07:30:45Z
dc.date.available2023-12-28T07:30:45Z
dc.date.issued2009
dc.description.abstractPhytoplankton becomes a concern to the environment when it forms dense growth at the water surface, known as algal bloom. However, studies on mechanism of algal bloom are not straight forward mainly caused by uncertainty and complexity of alga ecosystems. This paper describes the analysis of limnological time-series of Putrajaya Lake and wetlands to determine the growth of alga based on Kohonen self organizing feature maps (SOM). It specifically concentrates on the total Bacillariophyta species due to formation of largest algal composition in the Lake Putrajaya. An expert system was then developed based on the rules extracted from the SOM to model and predict the algal growth. The effectiveness of this system was tested on an actual tropical lake data which yields an acceptable high level of accuracy. � 2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5077085
dc.identifier.doi10.1109/ICIME.2009.63
dc.identifier.epage504
dc.identifier.scopus2-s2.0-70349507021
dc.identifier.spage501
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70349507021&doi=10.1109%2fICIME.2009.63&partnerID=40&md5=e14cdd2b754c8facdd1c0334a955c554
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29677
dc.pagecount3
dc.sourceScopus
dc.sourcetitleProceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009
dc.subjectRule based expert system
dc.subjectSelf organizing map
dc.subjectBlooms (metal)
dc.subjectClassifiers
dc.subjectExpert systems
dc.subjectGallium alloys
dc.subjectInformation management
dc.subjectLakes
dc.subjectStrength of materials
dc.subjectTime series analysis
dc.subjectAlgal blooms
dc.subjectAlgal growth
dc.subjectKohonen self-organizing feature map
dc.subjectRule based expert system
dc.subjectRule based expert systems
dc.subjectTropical lakes
dc.subjectWater surface
dc.subjectSelf organizing maps
dc.titleAnalysis of algal growth using kohonen self organizing feature map (SOM) and its prediction using rule based expert systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS