A learning approach to identification of nonlinear physiological systems using wiener models
A learning approach to identification of nonlinear physiological systems using wiener models
472-476
Jing, X.J.
2069201e-c435-4a3a-9c5a-e9b86855d3b0
Angarita, N.
e2299cca-4ec3-4123-8bd8-25d5c02125dd
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a
Newland, P.L.
7a018c0e-37ba-40f5-bbf6-49ab0f299dbb
January 2011
Jing, X.J.
2069201e-c435-4a3a-9c5a-e9b86855d3b0
Angarita, N.
e2299cca-4ec3-4123-8bd8-25d5c02125dd
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a
Newland, P.L.
7a018c0e-37ba-40f5-bbf6-49ab0f299dbb
Jing, X.J., Angarita, N., Simpson, D.M., Allen, R. and Newland, P.L.
(2011)
A learning approach to identification of nonlinear physiological systems using wiener models.
In Proceedings of Biosignals 2011 International Conference on Bio-inspired Systems and Signal Processing.
Springer.
.
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Published date: January 2011
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CD-ROM
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Biosignals 2011 International Conference on Bio-inspired Systems and Signal Processing, Rome, Italy, 2011-01-26 - 2011-01-29
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Local EPrints ID: 192065
URI: http://eprints.soton.ac.uk/id/eprint/192065
PURE UUID: b0e936e9-6c0d-4b23-9882-0df76338d94e
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Date deposited: 29 Jun 2011 13:33
Last modified: 09 Jan 2022 03:10
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Contributors
Author:
X.J. Jing
Author:
N. Angarita
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