Developing of Decision Support System for Land Mine Classification by Meta-heuristic Classifier
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
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.
Description
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
Keywords
Land Mine, classification, k-nn, genetic algorithm, meta-heuristic
Journal or Series
Proceedings Of The 2016 International Symposium On Innovations In Intelligent Systems And Applications (Inista)
WoS Q Value
N/A
