Genetic Programming Can Discover Fast and General Learning Rules for Neural Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@TechReport{radi:CSRP-98-3,

• author = "Amr M. Radi and Riccardo Poli",
• title = "Genetic Programming Can Discover Fast and General Learning Rules for Neural Networks",
• institution = "University of Birmingham, School of Computer Science",
• number = "CSRP-98-3",
• month = jan,
• year = "1998",
• file = "/1998/CSRP-98-03.ps.gz",
• URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1998/CSRP-98-03.ps.gz",
• reportfilename = "pub/tech-reports/1998/CSRP-98-03.ps.gz",
• keywords = "genetic algorithms, genetic programming",
• 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

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