Title :
Intelligent classification using adaptive fuzzy logic systems
Author :
Kodogiannis, Vassilis S. ; Petrounias, Ilias ; Lygouras, John N.
Author_Institution :
Centre for Syst. Anal., Univ. of Westminster, London
Abstract :
Fuzzy systems are currently finding practical applications, ranging from ldquosoftrdquo regulatory control in consumer products to accurate modeling of non-linear systems. A novel approach, based on adaptive fuzzy logic systems, has been discussed in this paper. Its performance is evaluated through a simulation study, using metered data collected from a roadside microphone-array sensor at the Valle dpsilaAosta highway in north-western Italy. The results indicate that the fuzzy classifier based on the proposed defuzzification method, namely area of balance (AOB), provide more accurate classifications compared to other classifiers.
Keywords :
acoustic signal detection; acoustic signal processing; adaptive control; feature extraction; fuzzy control; fuzzy set theory; microphone arrays; multilayer perceptrons; neurocontrollers; nonlinear control systems; road vehicles; signal classification; acoustic signature signal; adaptive fuzzy logic system; area of balance; defuzzification method; features extraction; fuzzy set theory; intelligent fuzzy classification; multi layer perceptron; nonlinear system; soft regulatory control; vehicles detection; Adaptive control; Adaptive systems; Consumer products; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent systems; Nonlinear control systems; Programmable control; Shape; Fuzzy systems; Neural Networks; Vehicle Classification;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670453
