Satellite image classification by fuzzy neural network
Joint Authors
Abbud, Luayy Kazim
Ibrahim, Fatimah Bahjat
Source
Issue
Vol. 46, Issue 1 (31 Mar. 2005), pp.250-254, 5 p.
Publisher
University of Baghdad College of Science
Publication Date
2005-03-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Implementation of Fuzzy Reasoning by structure of Neural Network method is used in this work, weights of Neural Network is Fuzzy Reasoning.
The PNN can automatically identify the Fuzzy Rules and tune the membership function by modifying the connection weights of Network using the back-propagation algorithm.
Post-classification rules is used to reduce the number of isolated mis-classified pixels occur after the pixel-by-pixc! classification principle.
American Psychological Association (APA)
Abbud, Luayy Kazim& Ibrahim, Fatimah Bahjat. 2005. Satellite image classification by fuzzy neural network. Iraqi Journal of Science،Vol. 46, no. 1, pp.250-254.
https://search.emarefa.net/detail/BIM-362513
Modern Language Association (MLA)
Abbud, Luayy Kazim& Ibrahim, Fatimah Bahjat. Satellite image classification by fuzzy neural network. Iraqi Journal of Science Vol. 46, no. 1 (2005), pp.250-254.
https://search.emarefa.net/detail/BIM-362513
American Medical Association (AMA)
Abbud, Luayy Kazim& Ibrahim, Fatimah Bahjat. Satellite image classification by fuzzy neural network. Iraqi Journal of Science. 2005. Vol. 46, no. 1, pp.250-254.
https://search.emarefa.net/detail/BIM-362513
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 254
Record ID
BIM-362513
