Inaccessible Parameters Monitoring in Industrial Environment: A Neural Based Approach
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Online local learning algorithms for linear discriminant analysis
Pattern Recognition Letters - Special issue: Advances in pattern recognition
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Neural networks for solving a class of generalized eigenvalue problems of matrix pair are proposed, in which a universal function satisfying several conditions is introduced by replacing some ones. For its simplicity in structure and excellence in performance, it can be widely used in many areas including array signal processing, blind equalization and identification. Both the theoretical analysis and the experimental results show that the proposed network can gives the extreme eigenvalue and its corresponding eigenvector of the matrix pair (A, B) in real time.