Multilayer feed forward neural networks for olive trees identification
Joint Authors
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 7, Issue 2 (31 Jul. 2007)8 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2007-07-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper we study and propose Multilayer Feed-Forward Neural Networks for identification some of different olive varieties.
The identification depends on image features of olive tree leaves.
The Feed forward Neural Networks is used with two hidden layers and one output layer with 12 nodes that correspond to different varieties (classes) of olive leaves.
The proposal technique is tested on an data base of 120 images leaves with 10 images for each variety (class).
The result shows that our technique is promising where the recognition rates 100%, and 91% for the training and testing respectively
American Psychological Association (APA)
Azim, G. A.& Sousow, M. K.. 2007. Multilayer feed forward neural networks for olive trees identification. International Journal of Intelligent Computing and Information Sciences،Vol. 7, no. 2.
https://search.emarefa.net/detail/BIM-284923
Modern Language Association (MLA)
Azim, G. A.& Sousow, M. K.. Multilayer feed forward neural networks for olive trees identification. International Journal of Intelligent Computing and Information Sciences Vol. 7, no. 2 (Jul. 2007).
https://search.emarefa.net/detail/BIM-284923
American Medical Association (AMA)
Azim, G. A.& Sousow, M. K.. Multilayer feed forward neural networks for olive trees identification. International Journal of Intelligent Computing and Information Sciences. 2007. Vol. 7, no. 2.
https://search.emarefa.net/detail/BIM-284923
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-284923