Locally Recurrent Globally Feedforward Networks: A Critical Review of Architectures

Tsoi A.C. and Back A.D. (1994) Locally Recurrent Globally Feedforward Networks: A Critical Review of Architectures. IEEE Transactions on Neural Networks, 5 2: 229-239. doi:10.1109/72.279187


Author Tsoi A.C.
Back A.D.
Title Locally Recurrent Globally Feedforward Networks: A Critical Review of Architectures
Journal name IEEE Transactions on Neural Networks   Check publisher's open access policy
ISSN 1941-0093
Publication date 1994-01-01
Year available 2017
Sub-type Article (original research)
DOI 10.1109/72.279187
Open Access Status Not yet assessed
Volume 5
Issue 2
Start page 229
End page 239
Total pages 11
Publisher ELSEVIER SCI LTD
Language eng
Subject 1702 Cognitive Sciences
1705 Computer Networks and Communications
1706 Computer Science Applications
1712 Software
1703 Computational Theory and Mathematics
1708 Hardware and Architecture
2207 Control and Systems Engineering
2208 Electrical and Electronic Engineering
2614 Theoretical Computer Science
Abstract In this paper, we will consider a number of local-recurrent-global-feedforward (LRGF) networks that have been introduced by a number of research groups in the past few years. We first analyze the various architectures, with a view to highlighting their differences. Then we introduce a general LRGF network structure that includes most of the network architectures that have been proposed to date. Finally we will indicate some open issues concerning these types of networks.
Keyword Education & Educational Research
Education & Educational Research
Q-Index Code C1
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
 
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Created: Tue, 13 Sep 2016, 14:54:57 EST by System User