Malek, S. and Salleh, A. and Ahmad, S.M.S. (2009) Analysis of algal growth using kohonen self organizing feature Map (SOM) and its prediction using rule based expert system. In: International Conference on Information Management and Engineering, APR 03-05, 2009 , Kuala Lumpur.
Full text not available from this repository.Abstract
Phytoplankton 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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | IACSIT; Singapore Inst Elect |
| Additional Information: | Univ Malaya, Inst Biol Sci, Kuala Lumpur, Malaysia |
| Uncontrolled Keywords: | Self Organizing Map; Rule Based Expert System |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Science > Institute of Biological Sciences |
| Depositing User: | Mr. Faizal Hamzah |
| Date Deposited: | 27 Oct 2011 01:37 |
| Last Modified: | 27 Oct 2011 01:37 |
| URI: | http://eprints.um.edu.my/id/eprint/2263 |
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