Open Science Research Excellence
%0 Journal Article
%A Kexin Jia and  Youxin Lu
%D 2007 
%J  International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 4, 2007
%T A New Method of Combined Classifier Design Based on Fuzzy Neural Network 
%U http://waset.org/publications/12753
%V 4
%X To make the modulation classification system more suitable for signals in a wide range of signal to noise rate (SNR), a novel method of designing combined classifier based on fuzzy neural network (FNN) is presented in this paper. The method employs fuzzy neural network classifiers and interclass distance (ICD) to improve recognition reliability. Experimental results show that the proposed combined classifier has high recognition rate with large variation range of SNR (success rates are over 99.9% when SNR is not lower than 5dB). 
%P 715 - 720