Use of genetic programming for the search of a new learning rule for neutral networks   [GP] [LR] [NN]

by

Bengio, S., Bengio, Y. and Cloutier, J.

Literature search on Evolutionary ComputationBBase ©1999-2013, Rasmus K. Ursem
     Home · Search · Adv. search · Authors · Login · Add entries   Webmaster
Note to authors: Please submit your bibliography and contact information - online papers are more frequently cited.

Info: Proceedings of the 1994 IEEE World Congress on Computational Intelligence (Conference proceedings), 1994, p. 324-327
Keywords:genetic algorithms, genetic programming
Notes:
Uses GP to produce a learning rule for training a neural network. Evolved rule like back-propergation but better, differential is cubed. Says neural network is fully connected,
Internet search:Search Google
Search Google Scholar
Search Citeseer using Google
Search Google for PDF
Search Google Scholar for PDF
Search Citeseer for PDF using Google

Review item:

Mark as doublet (will be reviewed)

Print entry




BibTex:
@InProceedings{Bengio:1994:GPslrNN,
  author =       "S. Bengio and Y. Bengio and J. Cloutier",
  title =        "Use of genetic programming for the search of a new
                 learning rule for neutral networks",
  booktitle =    "Proceedings of the 1994 IEEE World Congress on
                 Computational Intelligence",
  year =         "1994",
  pages =        "324--327",
  address =      "Orlando, Florida, USA",
  month =        "27-29 " # jun,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  size =         "4 pages",
  notes =        "Uses GP to produce a learning rule for training a
                 neural network. Evolved rule like back-propergation but
                 better, differential is cubed. Says neural network is
                 fully connected,

                 ",
}