Publication detail

Air Quality Modelling by Kohonen's Neural Networks

Authors: Olej Vladimír | Hájek Petr | Křupka Jiří | Obršálová Ilona

Year: 2007

Type of publication: článek ve sborníku

Name of source: Proceedings of the 6th WSEAS International Conference CIMMACS 2007 and the 5th WSEAS International Conference EED 2007

Publisher name: WSEAS Press

Place: Atény

Page from-to: 221-226

Titles:

Language	Name	Abstract	Keywords
cze	Air Quality Modelling by Kohonen's Neural Networks	The paper presents a design of parameters for air quality modelling and the classification of districts into classes according to their pollution. Further, it presents a model design, data pre-processing, the designs of various structures of Kohonen's Self-organizing Feature Maps (unsupervised methods), the clustering by K-means algorithm and the classification.
eng	Air Quality Modelling by Kohonen's Neural Networks	The paper presents a design of parameters for air quality modelling and the classification of districts into classes according to their pollution. Further, it presents a model design, data pre-processing, the designs of various structures of Kohonen's Self-organizing Feature Maps (unsupervised methods), the clustering by K-means algorithm and the classification.	Air quality;Modelling;Kohonen's Self-organizing Feature Maps;K-means algorithm;Classification

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