Kolloquium (INF) Prof. Dr. Petchporn Chawakitchareon, Environmental Engineering Department, Chulalongkorn University Bangkok

09.04.2019 von 17:00 bis 18:30

Water Quality Index Analysis and Prediction

Artificial neural network is a common method which has been used in many
data science projects. This talk presents a comparison of prediction
methods for water quality indexes using for classifying the water
quality in rivers or canals. We compare data analysis and data mining
results that can be obtained on the basis of full data records obtained
in Thailand for the decade 2007-2017. Special attention is directed
towards M5P, M5Rules and REPTree analysis algorithms compared to results
from multilayer perceptron - one type of artificial neural network. Our
experimental results show that the REPTree method yielded the highest
accuracy to predict Water quality indexes comparing to other methods.
For M5P and M5Rules, building models by using smoothing procedures and
unpruned techniques appears to give out the best model to predict with
the highest accuracy.

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