Locally recurrent globally feedforward networks: a critical review of architectures

A C Tsoi; A D Back

doi:10.1109/72.279187

Locally recurrent globally feedforward networks: a critical review of architectures

IEEE Trans Neural Netw. 1994;5(2):229-39. doi: 10.1109/72.279187.

Authors

A C Tsoi¹, A D Back

Affiliation

¹ Dept. of Electr. and Comput. Eng., Queensland Univ., St. Lucia, Qld.

PMID: 18267793
DOI: 10.1109/72.279187

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.