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Improved Self-Feedback Gain in the Context Layer of a Modified Elman Neural Network
Authors:
P. R. Drake; K. A. Miller
DOI:
10.1076/mcmd.8.3.307.14099
Publication Frequency:
6 issues per year
Published in:
Mathematical and Computer Modelling of Dynamical Systems,
Volume
8,
Issue
3
September
2002
, pages 307
- 311
Mathematical and Computer Modelling of Dynamical Systems,
Volume
8,
Issue
3
September
2002
, pages 307
- 311
Subjects:
Analysis - Mathematics;
Applied Mechanics;
Dynamical Control Systems;
Dynamical Systems;
Mathematical Modeling;
Mathematics & Statistics for Engineers;
Simulation & Modeling;
Formats available:
PDF
(English)
Previously published as:
Mathematical Modelling of Systems
(1381-2424)
until 1998
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Abstract
The use of a range of values for the self-feedback gains in the context layer of a modified Elman neural network is shown to reduce RMS error when modelling a non-linear dynamic system.
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