CLUSTERING DATA PENCEMARAN UDARA SEKTOR INDUSTRI DI JAWA TENGAH DENGAN KOHONEN NEURAL NETWORK

Warsito, Budi and Ispriyanti, Dwi and Widayanti, Henny (2008) CLUSTERING DATA PENCEMARAN UDARA SEKTOR INDUSTRI DI JAWA TENGAH DENGAN KOHONEN NEURAL NETWORK. Jurnal PRESIPITASI, 4 (1). pp. 1-6. ISSN 1907-187X

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Abstract

Industrial clustering in Central Java based on polutan yielded to be intended in order to obtaine an industrial group as information in development wisdom specially at Central Java Province. The method that is selected in industrial clustering is Kohonen Artificial Neural Network. An Artificial Neural Network is configured for a specific application, such as pattern recognition or data classification, through a learning process. Kohonen Neural Network can be used in data clustering through unsupervised learning. This network will divide the input pattern into some cluster, based on trained weight. Then this weight will be updated until it can classified itself into the class needed. This paper will present the result of the air contamination data clustering at industrial sector in Central Java at the year 2006 using Kohonen Neural Network. The result of this clustering is industrial clustering, based on polutan yielded, become three clusters. Key Words : Kohonen, Cluster, air pollution

Item Type:Article
Subjects:Q Science > Q Science (General)
Divisions:UNDIP Journal > Jurnal Presipitasi
Faculty of Science and Mathematics > Department of Statistics
ID Code:3514
Deposited By:Mr Hasbi Yasin
Deposited On:13 Jan 2010 15:05
Last Modified:09 Apr 2010 13:28

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