Genetic Programming Can Discover Fast and General Learning Rules for Neural Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @TechReport{radi:CSRP-98-3,
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author = "Amr M. Radi and Riccardo Poli",
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title = "Genetic Programming Can Discover Fast and General
Learning Rules for Neural Networks",
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institution = "University of Birmingham, School of Computer Science",
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number = "CSRP-98-3",
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month = jan,
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year = "1998",
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file = "/1998/CSRP-98-03.ps.gz",
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URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1998/CSRP-98-03.ps.gz",
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reportfilename = "pub/tech-reports/1998/CSRP-98-03.ps.gz",
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keywords = "genetic algorithms, genetic programming",
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abstract = "The Standard BackPropagation (SBP) algorithm for
training neural networks suffers from several problems.
a new technique based upon Genetic Programming (GP) is
proposed to overcome some of these problems. We have
used GP to discover new supervised learning algorithms.
A new learning algorithms has been discovered and
compared with SBP on different problems and has been
shown to provide better performances. This study
indicates that there exist many supervised learning
algorithms better than, but similar to, SBP and that GP
can be used to discover them.",
- }
Genetic Programming entries for
Amr Mohamed Mahmoud Khairat Radi
Riccardo Poli
Citations