Applicability of the multi-optional uncertainty conditional optimality doctrine to the neuron firing model
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Date
2019-04-23
Authors
Journal Title
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Publisher
National Aviation University
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.
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.
Keywords
aircraft, maintenance
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.