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Comments on "Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons"
August 1994 (vol. 16 no. 8)
pp. 862-863
ASCII Text
x 
 
P. Sarat Chandran, "Comments on "Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons"," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 8, pp. 862-863, August, 1994.
 
 
BibTex
x
 
@article{ 10.1109/34.308485,
author = {P. Sarat Chandran},
title = {Comments on "Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons"},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {16},
number = {8},
issn = {0162-8828},
year = {1994},
pages = {862-863},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.308485},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Comments on "Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons"
IS - 8
SN - 0162-8828
SP862
EP863
EPD - 862-863
A1 - P. Sarat Chandran,
PY - 1994
KW - backpropagation; Kalman filters; feedforward neural nets; comparative analysis; backpropagation; extended Kalman filter; training; multilayer perceptrons; Kalman gain
VL - 16
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

In this note, the connection between the backpropagation algorithm and the extended Kalman filter is analyzed using an alternate form of representation for the Kalman gain term and shown to be much simpler than that reported by Ruck et al (1992).

[1] D. W. Ruck, S. K. Rogers, M. Kabrisky, P. S. Maybeck, and M. E. Oxley, "Comparative analysis of backpropagation and extended Kalman filter for training multilayer perceptrons,"IEEE Trans. Pattern Anal. Machine Intell., vol. 14, no. 6, pp. 686-691, 1992.
[2] D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning representations by back propagating errors,"Nature, vol. 323, pp. 533-536, 1986.
[3] S. Singhal and L. Wu, "Training multilayer perceptrons with the extended Kalman algorithm, " inAdvances in Neural Information Processing systems 1(D. S. Touretzky, Ed.). San Mateo, CA: Morgan Kaufmann, 1989, pp. 133-140.
[4] R. F. Stengel,Stochastic Optimal Control. New York: John Wiley, 1986.
[5] O.L.R. Jacobs,Introduction to Control Theory. Oxford: Oxford Univ. Press, 1974.

Index Terms:
backpropagation; Kalman filters; feedforward neural nets; comparative analysis; backpropagation; extended Kalman filter; training; multilayer perceptrons; Kalman gain
Citation:
P. Sarat Chandran, "Comments on "Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons"," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 8, pp. 862-863, Aug. 1994, doi:10.1109/34.308485
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