Referenced Items are not available for this document.
In the paper we compare the predictive abilities of several types of neural networks in order to use them for voltage correction in a high precision solid state DC voltage reference source (DCVRS). The observed time series are characterised as outputs of nonlinear dynamical system. Networks are trained until the correlation dimension and the leading Lyapunov exponent of the predicted signals reaches the values of the same invariant measures of the observed system
Published in:
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
(Volume:1
)
Date of Conference: 18-21 May 1998
- Page(s):
- 303 - 307 vol.1
- Meeting Date :
- 18 May 1998-21 May 1998
- ISSN :
- 1091-5281
- Print ISBN:
- 0-7803-4797-8
- INSPEC Accession Number:
- 6068881
- Conference Location :
- St. Paul, MN
- Digital Object Identifier :
- 10.1109/IMTC.1998.679789
- Product Type:
- Conference Publications
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