DocumentCode
1137997
Title
Comments on "Comparative analysis of backpropagation and the extended Kalman filter for training multilayer perceptrons"
Author
Chandran, P. Sarat
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Volume
16
Issue
8
fYear
1994
Firstpage
862
Lastpage
863
Abstract
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).<>
Keywords
Kalman filters; backpropagation; feedforward neural nets; Kalman gain; backpropagation; comparative analysis; extended Kalman filter; multilayer perceptrons; training; Algorithm design and analysis; Backpropagation algorithms; Covariance matrix; Equations; Feedforward neural networks; Kalman filters; Multi-layer neural network; Neural networks; Nonhomogeneous media; State estimation;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.308485
Filename
308485
Link To Document