A computing model combining artificial neural networks and petri nets

Alfons J. Schuster

doi:10.1007/978-1-84628-943-9_4

A computing model combining artificial neural networks and petri nets

Alfons J. Schuster^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

We propose a new machine-learning algorithm. The approach combines artificial neural network style learning and Petri net style modeling in a single technique. We call this technique tokenized artificial neural networks. We apply the technique on a basic perceptron-type network and present results from experimental investigations as well as a proof for the proposed technique.

Original language	English
Title of host publication	Intelligent Computing Everywhere
Publisher	Springer London
Pages	61-77
Number of pages	17
ISBN (Print)	9781846289422
DOIs	https://doi.org/10.1007/978-1-84628-943-9_4
Publication status	Published - 2007 Dec 1
Externally published	Yes

ASJC Scopus subject areas

Computer Science(all)

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10.1007/978-1-84628-943-9_4

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abstract = "We propose a new machine-learning algorithm. The approach combines artificial neural network style learning and Petri net style modeling in a single technique. We call this technique tokenized artificial neural networks. We apply the technique on a basic perceptron-type network and present results from experimental investigations as well as a proof for the proposed technique.",

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A computing model combining artificial neural networks and petri nets

Abstract

ASJC Scopus subject areas

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