DocumentCode :
2464090
Title :
Classification Problem of ANN in Assessment of Environmental Quality
Author :
Feng, Lihua
Author_Institution :
Dept. of Geogr., Zhejiang Normal Univ., Jinhua, China
Volume :
3
fYear :
2010
fDate :
16-17 Dec. 2010
Firstpage :
146
Lastpage :
149
Abstract :
The advantage of artificial neural network is that there is no need to devise a mathematical model in order to perform a specific task. It processes information through interconnected processing elements (neurons). In assessment of environmental quality, ANN is an efficient and objective classification method. However according to our experience, ANN produces are not always comply with real situation, and sometimes, it can cause large errors with testing samples. These problems are caused by the nature of ANN itself. Studying of these problems increases our understanding of ANN classification.
Keywords :
backpropagation; environmental factors; environmental science computing; neural nets; pattern classification; quality management; artificial neural network; classification problem; environmental quality assessment; interconnected processing element; processes information; Artificial neural networks; Classification algorithms; Contamination; Input variables; Mathematical model; Neurons; Training; assessment; class; classification; environmental quality; sub-index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
Type :
conf
DOI :
10.1109/GCIS.2010.86
Filename :
5709343
Link To Document :
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