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Simulation of a neural network model identification algorithm

Simulation of a neural network model identification algorithm

An algorithm developed based on a multi-layer neural network with learning is proposed for discriminating deterministic functions in the presence of random distortions and under the conditions of both parametric and non-parametric a priori uncertainty. Statistical simulation methods help to establis...

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Bibliographic Details
Published in:Software engineering research in system science : proceedings of 12th Computer science on-line conference 2023 Vol. 1. P. 229-236
Other Authors: Terekhov, Alexander, Pchelintsev, Evgeny A., Korableva, Larisa, Perelevskiy, Svyatoslav, Korchagin, Roman
Format: Book Chapter
Language:English
Subjects:
нейронные сети
идентификация модели
непараметрическая априорная неопределенность
метод максимального правдоподобия
Зигерта-Котельникова критерий
средняя вероятность ошибки
моделирование
статьи в сборниках
Online Access:http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001017255
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http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001017255

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