DocumentCode
1266848
Title
Statistical analysis of the single-layer backpropagation algorithm. II. MSE and classification performance
Author
Bershad, Neil J. ; Shynk, John J. ; Feintuch, Paul L.
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Volume
41
Issue
2
fYear
1993
fDate
2/1/1993 12:00:00 AM
Firstpage
581
Lastpage
591
Abstract
For pt.I see ibid., p.583-91, 1993. The analysis of pt.I is extended to the evaluation of the mean-square error and the probability of correct classification. It is shown that the mean-square error and the corresponding performance surface are such that the single-layer perceptron is prevented from correctly classifying with probability one until the weights converge at infinity
Keywords
backpropagation; decision theory; error statistics; neural nets; nonlinear systems; parameter estimation; classification performance; decision theory; mean-square error; nonlinear system identification; performance surface; single-layer backpropagation algorithm; single-layer perceptron; statistical analysis; weight convergence; Aircraft propulsion; Backpropagation algorithms; Covariance matrix; Difference equations; Fluctuations; H infinity control; Performance evaluation; Probability; Statistical analysis; Steady-state;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.993122
Filename
993122
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