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Article

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Title

Spiking Neural Network Based on Cusp Catastrophe Theory

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2019

Published in

Foundations of Computing and Decision Sciences

Journal year: 2019 | Journal volume: vol. 44 | Journal number: no. 3

Article type

scientific article

Publication language

english

Keywords
EN
  • spiking neuron
  • cusp catastrophe
  • decision support system
  • XOR problem
Abstract

EN This paper addresses the problem of effective processing using thirdgeneration neural networks. The article features two new models of spiking neuronsbased on the cusp catastrophe theory. The effectiveness of the models is demonstratedwith an example of a network composed of three neurons solving the problem of linearinseparability of the XOR function. The proposed solutions are dedicated to hardwareimplementation using the Edge computing strategy. The paper presents simulationresults and outlines further research direction in the field of practical applicationsand implementations using nanometer CMOS technologies and the current processingmode.

Date of online publication

28.08.2019

Pages (from - to)

273 - 284

DOI

10.2478/fcds-2019-0014

URL

https://content.sciendo.com/view/journals/fcds/44/3/article-p273.xml

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

in press

Full text of article

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Access level to full text

public

Ministry points / journal

20

Ministry points / journal in years 2017-2021

40

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