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Detecting Environmental Change Using Self-Organizing Map Techniques Applied to the ERA-40 Database Cover

Detecting Environmental Change Using Self-Organizing Map Techniques Applied to the ERA-40 Database

Data Science Journal
Volume 10 (2011): Issue 0
By: Mohamed Gebri,  Eric Kihn,  Eyad Haj Said and  Abdollah Homaifar  
Open Access
|May 2011

Authors

Mohamed Gebri

mmgebril@ncat.edu

Autonomous Control and Information Technology Center, Department of Electrical and Computer Engineering, North Carolina A & T State University, Greensboro, NC 27411

Eric Kihn

Eric.A.Kihn@noaa.gov

Eyad Haj Said

ehajsaid@yahoo.com

University of Kalamoom, Deratiah, Syria

Abdollah Homaifar

homaifar@ncat.edu

Autonomous Control and Information Technology Center, Department of Electrical and Computer Engineering, North Carolina A & T State University, Greensboro, NC 27411
DOI: https://doi.org/10.2481/dsj.009-004 | Journal eISSN: 1683-1470
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Language: English
Published on: May 11, 2011
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Meteorological Database,
Data Mining,
Clustering,
Self Organizing Map,
ERA-40

© 2011 Mohamed Gebri, Eric Kihn, Eyad Haj Said, Abdollah Homaifar, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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