Method for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecast

Скорочена інформація про документ
dc.contributor.authorNeskorodieva, Tatiana
dc.contributor.authorFedorov, Eugene
dc.date.accessioned2020-11-06T13:09:48Z
dc.date.available2020-11-06T13:09:48Z
dc.date.issued2020
dc.description.abstractThe problem of automation of audit data analysis the prerequisite "Compliance of costs and incomes" based on the forecast is considered. A neural network model for forecast based on a gateway recurrent unit is proposed. For parametric identification of this model, adaptive cross entropy is proposed. This allows you to increase the forecast efficiency by reducing computational complexity and improving the forecast accuracy. Software was developed using the Matlab package that implements the proposed method. The developed software is studied when solving the problem of forecasting indicators in the task of analyzing the data mapping “settlements with suppliers - settlements with customers”.en_US
dc.identifier.urihttps://r.donnu.edu.ua/handle/123456789/1025
dc.language.isoenen_US
dc.subjectautomatic analysisen_US
dc.subjectaudit dataen_US
dc.subject"settlements with suppliers - settlements with customers" mappingen_US
dc.subjectforecasten_US
dc.subjectneural networken_US
dc.subjectgateway recurrent uniten_US
dc.titleMethod for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecasten_US
dc.typeBook chapteren_US
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
Method for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecast.pdf
Розмір:
551.4 KB
Формат:
Adobe Portable Document Format
Опис:
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
license.txt
Розмір:
1.71 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити
Зібрання
Навчально-методичні матеріали