Application of Inverse Optimization Algorithms in Neural Network Models for Short-Term Stock Price Forecasting

This paper introduces novel inverse optimization algorithms (RC and DC) for neural network training in stock price forecasting in an attempt to overcome the traditional gradient descent limitation of local minima convergence. The key novelty is a stochastic algorithm for inverse problems adapted to...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Main Authors: Ekaterina Gribanova, Roman Gerasimov, Elena Viktorenko
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-09-01
Colecção:Big Data and Cognitive Computing
Assuntos:
training algorithm
neural network
inverse algorithm
optimization algorithm
stock closing price
Acesso em linha:https://www.mdpi.com/2504-2289/9/9/235
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados