Applicability of the multi-optional uncertainty conditional optimality doctrine to the neuron firing model

Goncharenko, Andriy Viktorovich

Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/38777

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DC Field	Value	Language
dc.contributor.author	Goncharenko, Andriy Viktorovich	en
dc.date.accessioned	2019-05-21T16:36:33Z	-
dc.date.available	2019-05-21T16:36:33Z	-
dc.date.issued	2019-04-23	-
dc.identifier.citation	Goncharenko A. V. Applicability of the multi-optional uncertainty conditional optimality doctrine to the neuron firing model / A. V. Goncharenko // Матеріали XIV міжнародної науково-технічної конференції “АВІА-2019”. (23-25 квітня 2019 р., Київ). – К.: НАУ, 2019. – pp. 17.11-17.15.	en
dc.identifier.uri	http://er.nau.edu.ua/handle/NAU/38777	-
dc.description	The problem statement for the current state would be as to find a value extremized with the known view expression used as a neuron model activation function. Consider sigmoid function, for instance, logistic function.	en
dc.description.abstract	It is made an attempt to discover an explainable plausible reason for a neuron model activation function, or a squashing function, of a sigmoid type function like logistic function, substantiation in terms of the multi-optional conditional optimality doctrine for the special hybrid-optional effectiveness functions uncertainty.	en
dc.language.iso	en	en
dc.publisher	National Aviation University	en
dc.subject	aircraft	en
dc.subject	maintenance	en
dc.title	Applicability of the multi-optional uncertainty conditional optimality doctrine to the neuron firing model	en
dc.type	Article	en
Appears in Collections:	The Fourteenth International Scientific Conference "AVIA-2019"

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