Please use this identifier to cite or link to this item:
https://er.chdtu.edu.ua/handle/ChSTU/3457
Title: | Method for automatic analysis of compliance of settlements with suppliers and settlements with customers by neural network model of forecast |
Authors: | Neskorodieva, Tatiana Fedorov, Eugene Федоров, Євген Євгенович |
Keywords: | automatic analysis;audit data;"settlements with suppliers - settlements with customers" mapping;forecast;neural network;gateway recurrent unit |
Issue Date: | 2021 |
Publisher: | Advances in Intelligent Systems and Computing |
Abstract: | The 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”. |
URI: | https://er.chdtu.edu.ua/handle/ChSTU/3457 |
DOI: | 10.1007/978-3-030-58124-4_15 |
Volume: | 1265 |
First Page: | 156 |
End Page: | 165 |
Appears in Collections: | Наукові публікації викладачів (ФІТІС) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Springer.pdf | Method for automatic analysis of compliance of settlements with suppliers and settlements with customers by neural network model of forecast | 29.81 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.