Evolving the Architecture and Weights of Neural Networks Using a Weight Mapping Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8620

@TechReport{Pujol99,

• author = "Joao Carlos Figueira Pujol and Riccardo Poli",
• title = "Evolving the Architecture and Weights of Neural Networks Using a Weight Mapping Approach",
• institution = "University of Birmingham, School of Computer Science",
• number = "CSRP-99-05",
• month = "10 " # feb,
• year = "1999",
• type = "Technical Report",
• address = "UK",
• keywords = "genetic algorithms, genetic programming",
• file = "/1999/CSRP-99-05.ps.gz",
• URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1999/CSRP-99-05.ps.gz",
• abstract = "The application of genetic programming to the evolution of neural networks has been hindered by the inadequacy of parse trees to represent oriented graphs, and by the lack of a good mechanism for encoding the weights. In this work, a hybrid method is introduced, where genetic programming evolves a mapping function to adapt the weights, whereas a genetic algorithm-based approach evolves the architecture. Results on the application of the new method to the evolution of feedforward and recurrent neural networks are reported.",
• size = "14 pages",

}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli

Citations