Neural networks with robust backpropagation learning algorithm

A robust error suppressor function, which is independent of the underlying probability density function and convenient for computer programs, is proposed to robustify the backpropagation learning algorithm of multilayer feedforward networks. Its performance is studied for simulated data sets.

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Bibliographic Details
Published in:Analytica chimica acta Vol. 322; no. 1; pp. 21 - 29
Main Author: Walczak, B.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 1996
Elsevier
Subjects:
Analytical chemistry
Chemistry
Chemometrics
Exact sciences and technology
General, instrumentation
Neural networks
Robust backpropagation learning algorithm
Neural networks
Robust backpropagation learning algorithm
Chemometrics
Learning
Multiple layer
Robustness
Neural network
Feedforward
Algorithm
ISSN:0003-2670, 1873-4324
Online Access:Get full text
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Description
Summary:A robust error suppressor function, which is independent of the underlying probability density function and convenient for computer programs, is proposed to robustify the backpropagation learning algorithm of multilayer feedforward networks. Its performance is studied for simulated data sets.
ISSN:0003-2670
1873-4324
DOI:10.1016/0003-2670(95)00552-8