DocumentCode
3616058
Title
Artificial immune systems and ANN in PMR coding
Author
S. Sahan;R. Ceylan;S. Gunes
Author_Institution
Selcuk Univ., Konya, Turkey
fYear
2004
fDate
6/26/1905 12:00:00 AM
Firstpage
121
Lastpage
124
Abstract
This study aims at introducing a new artificial intelligence technique beginning to be known in Turkey to model the human immune system. Artificial immune systems (AIS) are increasing their application areas day by day and becoming a problem solving technique due to their performance in these applications. ABNET (De Castro et al. (2000)) is an hybrid system that is a combination of artificial neural networks and immune based metaphors. In this study, the coding in PMR (private mobile radio) is performed with ABNET. To evaluate the results, the same coding problem is solved with an ANN system. With respect to the results of both systems, the applicability of ABNET to real world problems is discussed.
Keywords
"Artificial immune systems","Artificial neural networks","Immune system","Electronic mail","Artificial intelligence","Humans","Problem-solving","Land mobile radio","Ambient intelligence","Robots"
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN
0-7803-8318-4
Type
conf
DOI
10.1109/SIU.2004.1338273
Filename
1338273
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