Paper Info
Title
Analysis of selected algal growth (Pyrrophyta) in tropical lake using Kohonen self organizing feature map (SOM) and its prediction using rule based system
Abstract
In this paper we describe the feasibility of applying Kohonen self organizing feature maps (SOM) and rule based system to determine the growth of selected algal division, Pyrrophyta using limnological time-series data of tropical Putrajaya Lake and Wetlands (Malaysia). A rule based model was developed based on the rules extracted from the SOM to model and predict Pyrrophyta growth. Input parameters are selected based on correlation analysis. Input parameters selected are temperature, pH and Biochemical Oxygen Demand (BOD). The effectiveness of this system was tested on an actual tropical lake data that is Putrajaya Lake and Wetlands which yields an acceptable high level of accuracy.
Year
DOI
Venue
2010
10.1145/1741906.1742083
ICWET
Keywords
Field
DocType
limnological time-series data,selected algal growth,actual tropical lake data,selected algal division,kohonen self,pyrrophyta growth,feature map,tropical putrajaya lake,biochemical oxygen demand,putrajaya lake,acceptable high level,input parameter,time series data,rule based,rule based system,prediction
Data mining,Rule-based system,Computer science,Self-organizing map,Correlation analysis
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
S. Malek100.34
Aishah Salleh2221.70
Mohd Sapiyan Baba3517.61