Applying artificial neural network theory to exploring diatom abundance at tropical Putrajaya Lake, Malaysia
This article explores the relationship between diatom abundance and water quality variables in tropical Putrajaya Lake based on limnological data collected from 2001 to 2006, using supervised and unsupervised artificial neural networks (ANNs). Recurrent artificial neural network (RANN) was used for...
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Main Authors: | , , , , |
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Format: | Article |
Published: |
2012
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Online Access: | http://eprints.um.edu.my/5668/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84862903665&partnerID=40&md5=4e5da1a8025f8c40a8468fefafec429f |
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