International Journal of Computational
Intelligence Research (IJCIR)
Volume 2, Number 2 (2006)
A new algorithm for sequential minor component analysis
Peng Dezhong, Yi Zhang
Computational Intelligence Laboratory School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054, P. R. China
Extracting multiple minor components from the input signal is quite useful for many practical applications. In this paper, a globally convergent MCA algorithm that can extract multiple minor components sequentially is proposed. Convergence of this MCA algorithm is analyzed via the deterministic discrete time (DDT) method. Sufficient conditions are obtained to guarantee the convergence of this MCA algorithm. Simulations are carried out to further illustrate the theoretical results achieved.
Neural Networks, Minor Component Analysis, Deterministic Discrete Time system, Eigenvector,