Title
Outdoor image classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism
Abstract
AIRS classification algorithm, which has an important place among classification algorithms in the field of Artificial Immune Systems, has showed an effective and intriguing performance on the problems it was applied. In this study, the resource allocation mechanism of AIRS was changed with a new one determined by Fuzzy-Logic rules. This system, named as Fuzzy-AIRS and AIRS were used as classifiers in the classification of outdoor images. The classification of outdoor dataset taken from UCI repository of machine learning databases was done using 10-fold cross validation method. Both versions of AIRS well performed over other systems reported in UCI website for corresponding dataset. Fuzzy-AIRS reached to the classification accuracy of 90.00 % in the applications whereas AIRS obtained 88.20 %. Besides, Fuzzy-AIRS gained one more advantage over AIRS by means of classification time. In the experiments, it was seen that the classification time in Fuzzy-AIRS was reduced by about 67% of AIRS for dataset. Fuzzy-AIRS classifier proved that it can be used as an effective classifier for image classification by reducing classification time as well as obtaining high classification accuracies.
Year
DOI
Venue
2005
10.1007/11556121_11
CAIP
Keywords
Field
DocType
airs classification algorithm,classification time,outdoor dataset,fuzzy-airs classifier,artificial immune recognition system,corresponding dataset,classification accuracy,uci repository,classification algorithm,outdoor image classification,performance evaluation,fuzzy resource allocation mechanism,image classification,high classification accuracy,artificial immune system,cross validation,machine learning,fuzzy logic,resource allocation
Artificial immune system,Pattern recognition,Computer science,Fuzzy logic,Image processing,Artificial intelligence,Classifier (linguistics),Clonal selection algorithm,Statistical classification,Contextual image classification,Cross-validation,Machine learning
Conference
Volume
ISSN
ISBN
3691
0302-9743
3-540-28969-0
Citations 
PageRank 
References 
2
0.64
3
Authors
4
Name
Order
Citations
PageRank
Kemal Polat1134897.38
Seral Şahan221017.86
Halife Kodaz327019.11
Salih Güneş4126778.53