Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/1777
Title: A neuro-fuzzy-evolutionary classifier of low-risk investments
Authors: Kalganova, T
Serguieva, A
Keywords: Evolutionary computation;Fuzzy neural nets
Issue Date: 2002
Publisher: IEEE
Citation: The Eleventh IEEE International Conference on Fuzzy Systems, pp 997-1002, IEEE Press, 2002
Abstract: This paper demonstrates that a hybrid fuzzy neural network can serve as a classifier of low risk investment projects. The training algorithm for the regular part of the network is based on bidirectional incremental evolution proving more efficient than direct evolution. The approach is applied to empirical data on UK companies traded on the LSE
URI: http://bura.brunel.ac.uk/handle/2438/1777
DOI: http://dx.doi.org/10.1109/FUZZ.2002.1006640
ISBN: 0780372808
ISSN: 10987584
Appears in Collections:Business and Management
Electronic and Computer Engineering
Brunel Business School Research Papers

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