Discovery of General Learning Rules for Feedforward Neural Networks with Step Activation Function using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@TechReport{radi:CSRP-99-1,
  author =       "Amr M. Radi and Riccardo Poli",
  title =        "Discovery of General Learning Rules for Feedforward
                 Neural Networks with Step Activation Function using
                 Genetic Programming",
  institution =  "University of Birmingham, School of Computer Science",
  number =       "CSRP-99-1",
  month =        jan,
  year =         "1999",
  file =         "/1999/CSRP-99-01.ps.gz",
  URL =          "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1999/CSRP-99-01.ps.gz",
  ftpaddress =   "ftp.cs.bham.ac.uk",
  reportfilename = "pub/tech-reports/1999/CSRP-99-01.ps.gz",
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "No standard learning algorithm exists for training
                 neural networks with step activation function. In this
                 work we use Genetic Programming (GP) to discover
                 supervised learning algorithms which can train neural
                 networks using step function. A new learning algorithm
                 has been discovered and has been shown to provide good
                 performances.",
}

Genetic Programming entries for Amr Mohamed Mahmoud Khairat Radi Riccardo Poli