<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper addresses the problem of effective processing using third generation neural networks. The article features two new models of spiking neurons based on the cusp catastrophe theory. The effectiveness of the models is demonstrated with an example of a network composed of three neurons solving the problem of linear inseparability of the XOR function. The proposed solutions are dedicated to hardware implementation using the Edge computing strategy. The paper presents simulation results and outlines further research direction in the field of practical applications and implementations using nanometer CMOS technologies and the current processing mode.</p></abstract>

This paper addresses the problem of effective processing using third generation neural networks. The article features two new models of spiking neurons based on the cusp catastrophe theory. The effectiveness of the models is demonstrated with an example of a network composed of three neurons solving the problem of linear inseparability of the XOR function. The proposed solutions are dedicated to hardware implementation using the Edge computing strategy. The paper presents simulation results and outlines further research direction in the field of practical applications and implementations using nanometer CMOS technologies and the current processing mode.

Spiking Neural Network Based on Cusp Catastrophe Theory

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Spiking Neural Network Based on Cusp Catastrophe Theory"}

This paper addresses the problem of effective processing using third generation neural networks. The article features two new models of spiking neurons based...

Spiking Neural Network Based on Cusp Catastrophe Theory

Data publikacji: 28 sie 2019

Zakres stron: 273 - 284

Otrzymano: 14 sty 2019

Przyjęty: 28 cze 2019

DOI: https://doi.org/10.2478/fcds-2019-0014

Słowa kluczowe
spiking neuron, cusp catastrophe, decision support system, XOR problem

© 2019 Damian Huderek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Spiking Neural Network Based on Cusp Catastrophe Theory

Data publikacji: 28 sie 2019

Zakres stron: 273 - 284

Otrzymano: 14 sty 2019

Przyjęty: 28 cze 2019

DOI: https://doi.org/10.2478/fcds-2019-0014

Słowa kluczowespiking neuron, cusp catastrophe, decision support system, XOR problem

© 2019 Damian Huderek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
spiking neuron, cusp catastrophe, decision support system, XOR problem