Open AccessTRAINING OF ARTIFICIAL NEURAL NETWORK
Author(s) -
Ibraim Didmanidze,
Gregory Kakhiani,
Didar Didmanidze
Publication year - 2021
Publication title -
žurnal občislûvalʹnoï ta prikladnoï matematiki
Language(s) - English
Resource type - Journals
eISSN - 2706-9699
pISSN - 2706-9680
DOI - 10.17721/2706-9699.2021.1.14
Subject(s) - artificial neural network , computer science , artificial intelligence , basis (linear algebra) , nonlinear system , stochastic neural network , training (meteorology) , machine learning , time delay neural network , mathematics , geography , physics , geometry , quantum mechanics , meteorology
The methodology of neural networks is even more often applied in tasks of management and decision-making, including in the sphere of trade and finance. The basis of neural networks is made by nonlinear adaptive systems which proved the efficiency at the solution of problems of forecasting.