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A New Multiple Model Framework for Recursive Bayesian Modelling of Time Series by Neural Networks

A New Multiple Model Framework for Recursive Bayesian Modelling of Time Series by Neural Networks
A New Multiple Model Framework for Recursive Bayesian Modelling of Time Series by Neural Networks
302-309
Dodd, T.J.
355f3ce1-a41a-4d42-8ca3-d8b5cd1f6fe9
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Dodd, T.J.
355f3ce1-a41a-4d42-8ca3-d8b5cd1f6fe9
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Dodd, T.J. and Harris, C.J. (1999) A New Multiple Model Framework for Recursive Bayesian Modelling of Time Series by Neural Networks. Proceedings of the 2nd International Conference on Information Fusion. pp. 302-309 .

Record type: Conference or Workshop Item (Other)

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More information

Published date: July 1999
Additional Information: Address: California, USA
Venue - Dates: Proceedings of the 2nd International Conference on Information Fusion, 1999-06-30
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250457
URI: http://eprints.soton.ac.uk/id/eprint/250457
PURE UUID: 4f839559-5cdf-45b9-8e7e-7d43aeb6323f

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Date deposited: 30 Mar 2000
Last modified: 10 Dec 2021 20:09

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Contributors

Author: T.J. Dodd
Author: C.J. Harris

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