Dynamic recurrent neural networks: theory and applications

C. Lee Giles, Gary M. Kuhn, Ronald J. Williams

Research output: Contribution to journalArticlepeer-review

155 Scopus citations


Illustrated in this paper are the scientific trends of the early work in recurrent neural networks and the mathematics of training when at least some recurrent terms of the network derivatives can be non-zero.

Original languageEnglish (US)
Pages (from-to)153-156
Number of pages4
JournalIEEE Transactions on Neural Networks
Issue number2
StatePublished - 1994

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence


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