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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Vydáno v:Analytica chimica acta Ročník 322; číslo 1; s. 21 - 29
Hlavní autor: Walczak, B.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 1996
Elsevier
Témata:
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
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Popis
Shrnutí: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