A digital circuit design of state-space recurrent neural networks

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a digital circuit design of a state-space recurrent neural network (RNN). The proposed digital circuit design separates the datapath of the state-space RNN into a linear subcircuit and a nonlinear subcircuit. The linear subcircuit is realized by a matrix-vector multiplier while the nonlinear subcircuit by a customized nonlinear function computing unit. The throughput rate of the proposed RNN circuit is 36060.5 times faster than that of the software simulation using MATLAB®. The proposed state-space RNN digital design methodology not only possesses the advantages including high computing speed, small area and portability, but also increases the possibility of using the digital RNN circuit in real-world dynamic problems.

Original languageEnglish
Article number4811556
Pages (from-to)1838-1842
Number of pages5
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
Duration: 2008 Oct 122008 Oct 15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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