loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Eva Volna

Affiliation: University of Ostrava, Czech Republic

Abstract: The majority of this paper relies on some forms of automatic decomposition tasks into modules. Both described methods execute automatic neural network modularization. Modules in neural networks emerge; we do not build them straightforward by penalizing interference between modules. The concept of emergence takes an important role in the study of the design of neural networks. In the paper, we study an emergence of modular connectionist architecture of neural networks, in which networks composing the architecture compete to learn the training patterns directly from the interaction of reproduction with the task environment. Network architectures emerge from an initial set of randomly connected networks. In this way can be eliminated connections so as to dedicate different portions of the system to learn different tasks. Mentioned methods were demonstrated for experimental task solving.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.147.36.106

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Volna, E. (2010). Automatic Modularization of Artificial Neural Networks . In Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2010) - Workshop ANNIIP; ISBN 978-989-8425-03-4, SciTePress, pages 23-32. DOI: 10.5220/0003023800230032

@conference{workshop anniip10,
author={Eva Volna.},
title={Automatic Modularization of Artificial Neural Networks },
booktitle={Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2010) - Workshop ANNIIP},
year={2010},
pages={23-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003023800230032},
isbn={978-989-8425-03-4},
}

TY - CONF

JO - Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2010) - Workshop ANNIIP
TI - Automatic Modularization of Artificial Neural Networks
SN - 978-989-8425-03-4
AU - Volna, E.
PY - 2010
SP - 23
EP - 32
DO - 10.5220/0003023800230032
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic