대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

Identification of Finite Automata Using Recurrent Neural Networks

  • Won, Sung-Hwan (School of Electrical Engineering and Computer Science KAIST) ;
  • Park, Cheol-Hoon (School of Electrical Engineering and Computer Science KAIST)
  • 발행 : 2008.06.18
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper demonstrates that the recurrent neural networks can be used successfully for the identification of finite automata (FAs). A new type of recurrent neural network (RNN) is proposed and the offline training algorithm, regulated Levenberg-Marquadt (LM) algorithm, for the network is developed. Simulation result shows that the identification and the extraction of FAs are practically achievable.

키워드