On the Search for New Learning Rules for ANNs

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{bengio:1995:npl,

• author = "Samy Bengio and Yoshua Bengio and Jocelyn Cloutier",
• title = "On the Search for New Learning Rules for {ANN}s",
• journal = "Neural Processing Letters",
• year = "1995",
• volume = "2",
• number = "4",
• pages = "26--30",
• keywords = "genetic algorithms, genetic programming, ANN, Neural Network, Artificial Intelligence, Complex System, Nonlinear Dynamics, Practical Experiment",
• ISSN = "1370-4621",
• URL = "http://www.iro.umontreal.ca/~lisa/pointeurs/bengio_1995_npl.pdf",
• broken = "http://www.iro.umontreal.ca/~lisa/publications2/index.php/publications/show/131",
• DOI = "doi:10.1007/BF02279935",
• size = "12 pages",
• abstract = "we present a framework where a learning rule can be optimized within a parametric learning rule space. We define what we call parametric learning rules and present a theoretical study of their generalization properties when estimated from a set of learning tasks and tested over another set of tasks. We corroborate the results of this study with practical experiments.",

}

Genetic Programming entries for Samy Bengio Yoshua Bengio Jocelyn Cloutier

Citations