Locally recurrent globally feedforward networks: a critical review of architectures

Authors:
Ah Chung Tsoi;A. D. Back
Affiliations:
Dept. of Electr. & Comput. Eng., Queensland Univ., St. Lucia, Qld.;-
Venue:
IEEE Transactions on Neural Networks
Year:
1994

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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