Mutation Control in Neat for Customizable Neural Networks

dc.contributor.author	Galchenkov, Oleg
dc.contributor.author	Nevrev, Alexander
dc.date.accessioned	2025-02-20T12:37:42Z
dc.date.available	2025-02-20T12:37:42Z
dc.date.issued	2019
dc.identifier.citation	Galchenkov O. Mutation Control in Neat for Customizable Neural Networks / O. Galchenkov, A. Nevrev // CEUR Workshop Proceedings, 2019	en
dc.identifier.uri	http://dspace.opu.ua/jspui/handle/123456789/14970
dc.description.abstract	A modification of the NEAT algorithm is proposed through the use of a mechanism for changing the level of mutations. At the same time, both the weight coefficients and the number of neurons in the hidden layers and the connections between them change. For the task of modelling the XOR operator, a significant acceleration of the training of a neural network was obtained.	en
dc.language.iso	en	en
dc.subject	neural network	en
dc.subject	genetic algorithm	en
dc.subject	fitness function	en
dc.subject	weighting factors	en
dc.subject	mutation	en
dc.subject	selection	en
dc.title	Mutation Control in Neat for Customizable Neural Networks	en
dc.type	Article	en
opu.citation.journal	CEUR Workshop Proceedings	en