Neurofuzzy Systems Modelling: A Transparent Approach
Neurofuzzy Systems Modelling: A Transparent Approach
This chapter advocates a cyclic construction approach to data modelling based on a design-train-validate-interpret cycle. Traditional approaches to data modelling with neural networks typically produce opaque systems which are difficult to interpret and hence validate. Neurofuzzy systems equip neural networks with a linguistic interpretation which provides the designer with enhanced transparency enabling the loop to be closed in the modelling cycle. Three neurofuzzy construction algorithms are discussed, and their performances are evaluated on two real data sets.
Brown, M.
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Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Ng, C.Y.
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Harris, C.J.
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1997
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Ng, C.Y.
d06813da-f81c-4f36-b76c-a6e08b9b4062
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Brown, M., Gunn, S.R., Ng, C.Y. and Harris, C.J.
(1997)
Neurofuzzy Systems Modelling: A Transparent Approach.
In,
Warwick, K.
(ed.)
Dealing with Complexity: A Neural Network Approach.
Dealing with Complexity: A Neural Network Approach (01/01/97)
Springer.
Record type:
Book Section
Abstract
This chapter advocates a cyclic construction approach to data modelling based on a design-train-validate-interpret cycle. Traditional approaches to data modelling with neural networks typically produce opaque systems which are difficult to interpret and hence validate. Neurofuzzy systems equip neural networks with a linguistic interpretation which provides the designer with enhanced transparency enabling the loop to be closed in the modelling cycle. Three neurofuzzy construction algorithms are discussed, and their performances are evaluated on two real data sets.
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Published date: 1997
Additional Information:
Address: London
Venue - Dates:
Dealing with Complexity: A Neural Network Approach, 1997-01-01
Organisations:
Electronic & Software Systems, Southampton Wireless Group
Identifiers
Local EPrints ID: 250028
URI: http://eprints.soton.ac.uk/id/eprint/250028
PURE UUID: 505f9d02-5ced-48d8-93d4-01dff2fe0fc1
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Date deposited: 28 Oct 2001
Last modified: 20 Feb 2024 11:11
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Contributors
Author:
M. Brown
Author:
S.R. Gunn
Author:
C.Y. Ng
Author:
C.J. Harris
Editor:
K. Warwick
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