Grammatical Evolution And Corporate Failure Prediction
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{brabazon:2002:gecco,
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author = "Anthony Brabazon and Michael O'Neill and
Robin Matthews and Conor Ryan",
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title = "Grammatical Evolution And Corporate Failure
Prediction",
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booktitle = "GECCO 2002: Proceedings of the Genetic and
Evolutionary Computation Conference",
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editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and
R. Roy and D. Davis and R. Poli and K. Balakrishnan and
V. Honavar and G. Rudolph and J. Wegener and
L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and
E. Burke and N. Jonoska",
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year = "2002",
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pages = "1011--1018",
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address = "New York",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "9-13 " # jul,
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publisher = "Morgan Kaufmann Publishers",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, real world applications, corporate failure
prediction, genotype to phenotype mapping, grammars",
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ISBN = "1-55860-878-8",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/RWA145.ps",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/RWA145.pdf",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf",
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size = "8 pages",
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abstract = "This study examines the potential of Grammatical
Evolution to uncover a series of useful rules which can
assist in predicting corporate failure using
information drawn from financial statements. A sample
of 178 publically quoted, failed and non-failed Us
firms, drawn from the period 1991 to 2000 are used to
train and test the model. The preliminary findings
indicate that the methodology has much potential.",
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notes = "GECCO-2002. A joint meeting of the eleventh
International Conference on Genetic Algorithms
(ICGA-2002) and the seventh Annual Genetic Programming
Conference (GP-2002)",
- }
Genetic Programming entries for
Anthony Brabazon
Michael O'Neill
Robin Matthews
Conor Ryan
Citations