Developing of Decision Support System for Land Mine Classification by Meta-heuristic Classifier
Yükleniyor...
Dosyalar
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, a decision support system has been developed for land mine detection and classification. Data obtained from detector based magnetic anomaly have been used to classify the land mines. With this classification, it is decided that whether obtained data belongs to a land mine or not, and the type of mine. The meta-heuristic k-NN classifier (HKC) has been used in developed decision support system. Consequently, it is seen that decision support system detects the presence of mines and decides the type of mine with 100% success for measurements in a certain range, and the proposed classifying method shows much higher performance than traditional instance-based classification method.
Açıklama
International Symposium on Innovations in Intelligent Systems and Applications (INISTA) -- AUG 02-05, 2016 -- Sinaia, ROMANIA
GUVENC, Ugur/0000-0002-5193-7990; sonmez, yusuf/0000-0002-9775-9835;
WOS: 000386824000048
GUVENC, Ugur/0000-0002-5193-7990; sonmez, yusuf/0000-0002-9775-9835;
WOS: 000386824000048
Anahtar Kelimeler
Land Mine, classification, k-nn, genetic algorithm, meta-heuristic
Kaynak
Proceedings Of The 2016 International Symposium On Innovations In Intelligent Systems And Applications (Inista)
WoS Q Değeri
N/A
