Работы, цитирующие эту работу

Работ: 2

Работа: A deep learning framework for financial time series using stacked autoencoders and long-short term memory

1. Comparison of ARIMA and Deep Learning Models for Forecasting the Consumer Price Index in Uzbekistan: Using R Packages

   Odiljon Rikhsimbaev, Akram Ishnazarov, Sarvar Mamasoliyev

   СтатьяStock Market Forecasting Methods2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.002477

2. Research on Forecast Algorithm of Financial Time Series Analysis Based on Markov Model

   Manorama Devi, J. Jasmine Hephzipah, N. Esanmurodova +3

   СтатьяStock Market Forecasting Methods2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.003387