Author： Drake P.R. Miller K.A.
Publisher： Taylor & Francis Ltd
ISSN： 1387-3954
Source： Mathematical and Computer Modelling of Dynamical Systems, Vol.8, Iss.3, 2002-09, pp. : 307-311
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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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