Kernel methods have emerged as a powerful tool in adaptive filtering and system identification, enabling the processing and modelling of complex, nonlinear relationships in dynamic systems.

Han-Ming Wu, Kernel Sliced Inverse Regression with Applications to Classification, Journal of Computational and Graphical Statistics, Vol. 17, No. 3 (Sep., 2008), pp. 590-610 ...

On the basis of the principal components analysis-particle swarm optimization-least squares support vector machine (PCA-PSO-LSSVM) algorithm, a fault diagnosis system is proposed for the compressor ...