A fully recursive perceptron network architecture

Hagenbuchner, Markus; Tsoi, Ah Chung; Scarselli, Franco; Zhang, Shujia

A fully recursive perceptron network architecture

conference contribution

posted on 2024-11-16, 02:17 authored by Markus HagenbuchnerMarkus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang

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Funding

Modelling graph-of-graphs for solving document categorisation problems

Australian Research Council

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Citation

Hagenbuchner, M., Tsoi, A., Scarselli, F. & Zhang, S. (2017). A fully recursive perceptron network architecture. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 288-295). IEEE Xplore: IEEE.

Parent title

2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings

Volume

2018-January

Pagination

1-8

Publisher website/DOI

https://doi.org/10.1109/SSCI.2017.8285325

Language

English

RIS ID

126735

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Keywords

architecture network fully recursive perceptron

A fully recursive perceptron network architecture

Funding

Modelling graph-of-graphs for solving document categorisation problems

History

Citation

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