Artificial immune systems and ANN in PMR coding [PMR Kodlamasinda YAPAY Ba?işiklik Si?stemleri? VE YSA]
Yükleniyor...
Tarih
2004
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study aims at introducing a new Artificial Intelligence technique especially beginned to be known newly in our country and models human immune system. Artificial Immune Systems (AIS) are increasing their application areas day by day and coming into existence as a prosperius problem solving technique with their performance on these applications. ABNET is an hybrid system proposed by F. N. De Castro, F. J. Von Zuben and Getúlio A. De Deus Jr. 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, same coding problem is solved with an ANN system, too. With respect to the results of both system, the applicability of ABNET to real world problems is discussed. © 2004 IEEE.
Açıklama
IEEE;TUBITAK;Istanbul Teknik Universitesi;aselsan;Profilo Telr@
Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004 -- 28 April 2004 through 30 April 2004 -- Kusadasi -- 64722
Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004 -- 28 April 2004 through 30 April 2004 -- Kusadasi -- 64722
Anahtar Kelimeler
Kaynak
Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004
WoS Q Değeri
Scopus Q Değeri
N/A
