Self-Generating Neural Networks

Wilson X. Wen, Huan Liu, Andrew Jennings

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


A method of generating neural networks automatically is proposed in this paper. Not only the weights of the connections but also the structure of the network including the number of neurons, the number of layers, and the interconnections among the neurons are all learned from the training examples. Issues of optimization and pruning of the generated networks are investigated. An experimental system has been implemented based on the proposed method and some experimental results and comparisons between our method and other methods are also given.

Original languageEnglish (US)
Title of host publicationProceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)0780305590
StatePublished - 1992
Externally publishedYes
Event1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States
Duration: Jun 7 1992Jun 11 1992

Publication series

NameProceedings of the International Joint Conference on Neural Networks


Conference1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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