Theorem of learning for a competition algorithm

Autor:	V. S. Antyufeev
Rok vydání:	2013
Předmět:	Competition (economics) Numerical Analysis Theoretical computer science Artificial neural network Wake-sleep algorithm Universal approximation theorem Numerical analysis Extension (predicate logic) Net (mathematics) Unit (ring theory) Algorithm Mathematics
Zdroj:	Numerical Analysis and Applications. 6:1-8
ISSN:	1995-4247 1995-4239
DOI:	10.1134/s1995423913010011
Popis:	This paper is an extension of [1], where a new decisive algorithm was proposed. In its operation, the unit resembles artificial neural networks. However, the functioning of the algorithm proposed is based on different concepts. It does not use the concept of a net or a neuron. The theorem of learning for the new competition algorithm is proved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cbbd828e7a276e289cb54729dcf51466 https://doi.org/10.1134/s1995423913010011 Zobrazit plný text záznamu Full text from SpringerLink