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An Analysis of the Application of B-spline Neurofuzzy Construction Algorithms

Brown, M., Bossley, K.M. and Harris, C.J. (1996) An Analysis of the Application of B-spline Neurofuzzy Construction Algorithms At EUFIT '96. , 1830--1834.

Record type: Conference or Workshop Item (Other)


This paper investigates the application of the B-spline neurofuzzy construction algorithms, developed by the ISIS research group, to identifying appropriate models from two standard data sets. The two data sets are the Box-Jenkins data and a simulated system data set, both of which can are described by discrete time series models. It is shown that the construction algorithms pick out the dominant linear components associated with this data, as well as the small nonlinearities, and the model's structure facilitates the analysis of the data where errors occur. This is simplified by the incorporation of these techniques inside NeuFrame: a PC-based graphical development environment.

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Published date: 1996
Venue - Dates: EUFIT '96, 1996-01-01
Organisations: Southampton Wireless Group


Local EPrints ID: 250120
PURE UUID: 80ddc286-71ee-49ae-9e19-9fdb689db5d2

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Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

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Author: M. Brown
Author: K.M. Bossley
Author: C.J. Harris

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