Literature DB >> 18267793

Locally recurrent globally feedforward networks: a critical review of architectures.

A C Tsoi1, A D Back.   

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.

Year:  1994        PMID: 18267793     DOI: 10.1109/72.279187

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  3 in total

1.  Real-time ocular artifact suppression using recurrent neural network for electro-encephalogram based brain-computer interface.

Authors:  A Erfanian; B Mahmoudi
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

2.  Decoding hind limb kinematics from neuronal activity of the dorsal horn neurons using multiple level learning algorithm.

Authors:  Hamed Yeganegi; Yaser Fathi; Abbas Erfanian
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

3.  Estimation of Bladder Pressure and Volume from the Neural Activity of Lumbosacral Dorsal Horn Using a Long-Short-Term-Memory-based Deep Neural Network.

Authors:  Milad Jabbari; Abbas Erfanian
Journal:  Sci Rep       Date:  2019-12-02       Impact factor: 4.379

  3 in total

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