A self organizing map (SOM) guided rule based system for freshwater tropical algal analysis and prediction
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 fiv...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academic Journals
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23121/ http://psasir.upm.edu.my/id/eprint/23121/1/A%20self%20organizing%20map%20%28SOM%29%20guided%20rule%20based%20system.pdf |