High Dimensional Neurofuzzy Systems: Overcoming the Curse of Dimensionality

Brown, M., Bossley, K.M., Mills, D.J. and Harris, C.J. (1995) High Dimensional Neurofuzzy Systems: Overcoming the Curse of Dimensionality. Proc. Int. Joint Conf. of the 4th Int. Conf. on Fuzzy Systems and the 2nd Int. Fuzzy Engineering Symp. , 2139--2146.


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Many researchers do not appreciate the problems in building high-dimensional fuzzy models or control surfaces, yet this task has occupied researchers in several fields for the past thirty years. The problems occur due to the lack of both available training data and the required computational resources necessary for building and calculating the response of the model. This paper outlines several techniques for partially overcoming the curse of dimensionality associated with high-dimensional data modelling problems and compares and contrasts them with several algorithms developed in the statistical community. The work is intended to outline both conventional concepts which can be usefully applied in neurofuzzy models and new developments in this field.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Organisation: IEEE/IFES Address: Yokohama, Japan
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 250245
Accepted Date and Publication Date:
March 1995Published
Date Deposited: 04 May 1999
Last Modified: 31 Mar 2016 13:50
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250245

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