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Node decoupled extended Kalman filter based learning algorithm for neural networks

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2 Author(s)
Murtuza, S. ; Sch. of Eng., Michigan Univ., Dearborn, MI, USA ; Chorian, S.F.

The use of extended Kalman filter (EKF) is common in estimation of nonlinear system parameters. It has also found application in training of feedforward neural networks. A heuristic modification of the EKF algorithm known as the node decoupled EKF (NDEKF) algorithm, which improves upon the EKF algorithm by significantly reducing computation time and memory requirements, appears very promising. The purpose of this paper is to present the NDEKF algorithm in a form suitable for coding readily into a computer program. Matlab implementation of the algorithm with simulation examples is included

Published in:

Intelligent Control, 1994., Proceedings of the 1994 IEEE International Symposium on

Date of Conference:

16-18 Aug 1994