Title :
Wavelet support vector machine
Author :
Zhang, Li ; Zhou, Weida ; Jiao, Licheng
Author_Institution :
Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented. The wavelet kernel is a kind of multidimensional wavelet function that can approximate arbitrary nonlinear functions. The existence of wavelet kernels is proven by results of theoretic analysis. Computer simulations show the feasibility and validity of wavelet support vector machines (WSVMs) in regression and pattern recognition.
Keywords :
function approximation; pattern recognition; regression analysis; support vector machines; wavelet transforms; admissible support vector kernel; arbitrary nonlinear functions; computer simulations; multidimensional wavelet function; pattern recognition; regression analysis; wavelet support vector machine; Computer simulation; Helium; Kernel; Multidimensional systems; Pattern recognition; Polynomials; Radar signal processing; Support vector machine classification; Support vector machines; Wavelet analysis;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2003.811113
