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.

Key words
Neural Networks, Minor Component Analysis, Deterministic Discrete Time system, Eigenvector, Eigenvalue.