Підвищення точності нейромережевого прогнозування валютного курсу методами еволюційного моделювання

A set of models of feedforward neural networks is created to obtain operational forecasts of the time series of the hryvnia/dollar exchange rate. It is shown that using an evolutionary algorithm for the total search of basic characteristics and a genetic algorithm for searching the values of the mat...

Full description

Saved in:
Bibliographic Details
Date:2024
Main Author: Fedin, Serhii
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2024
Subjects:
Online Access:http://journal.iasa.kpi.ua/article/view/315124
Tags: Add Tag
No Tags, Be the first to tag this record!
Journal Title:System research and information technologies

Institution

System research and information technologies