Discovery of Neural Network Learning Rules Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @TechReport{radi:CSRP-97-21,
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author = "Amr M. Radi and Riccardo Poli",
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title = "Discovery of Neural Network Learning Rules Using
Genetic Programming",
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institution = "University of Birmingham, School of Computer Science",
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number = "CSRP-97-21",
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month = sep,
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year = "1997",
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file = "/1997/CSRP-97-21.ps.gz",
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URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1997/CSRP-97-21.ps.gz",
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reportfilename = "pub/tech-reports/1997/CSRP-97-21.ps.gz",
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keywords = "genetic algorithms, genetic programming",
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abstract = "The development of the backpropagation learning rule
has been a land mark in neural networks. It provides a
computational method for training multi layer networks.
Unfortunately, backpropagation 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 set of such learning algorithms
has been compared with the Standard BackPropagation
(SBP) learning algorithm 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