Pregled bibliografske jedinice broj: 1108376
Forecasting Dow Jones Industrial Average Index Movement Using Long Short-Term Memory network
Forecasting Dow Jones Industrial Average Index Movement Using Long Short-Term Memory network // Abstract Book - Fifth International Workshop on Data Science / Lončarić, Sven (ur.).
Zagreb: Znanstveni centar izvrsnosti za znanost o podatcima i kooperativne sustave, 2020. str. 45-46 (predavanje, nije recenziran, kratko priopćenje, znanstveni)
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Naslov
Forecasting Dow Jones Industrial Average Index
Movement Using
Long Short-Term Memory network
Autori
Štifanic, Daniel ; Jukić, Adrijana ; Musulin, Jelena ; Car, Zlatan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, kratko priopćenje, znanstveni
Izvornik
Abstract Book - Fifth International Workshop on Data Science
/ Lončarić, Sven - Zagreb : Znanstveni centar izvrsnosti za znanost o podatcima i kooperativne sustave, 2020, 45-46
Skup
5th International Workshop on Data Science (IWDS 2020)
Mjesto i datum
Zagreb, Hrvatska, 24.11.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
stationary wavelet transform (SWT) ; long short-term memory networks (LSTMs) ; COVID-19 ; Forecasting Dow Jones
Sažetak
The stock market tends to be a noisy, non- stationary and non-linear dynamical system, therefore, forecasting stock price movement is quite difficult. Numerous factors interact in finance including economic conditions, COVID-19 pandemic, political events, etc. However, with the help of artificial intelligence-based system, supportive and valuable information can be provided to the traders and analysts, which may be crucial for successful investment and maximizing profits. The approach that provided satisfactory results in terms of stock market forecasting is an integration of stationary wavelet transform (SWT) with long short-term memory networks (LSTMs).
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Ekonomija
POVEZANOST RADA
Projekti:
Ostalo-CEI - 305.6019-20 - Use of regressive artificial intelligence (AI) and machine learning (ML) methods in modelling of COVID-19 spread (COVIDAi) (Car, Zlatan, Ostalo - CEI Extraordinary Call for Proposals 2020) ( CroRIS)
--KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša) ( CroRIS)
InoUstZnVO-CIII-HR-0108-10 - Concurrent Product and Technology Development - Teaching, Research and Implementation of Joint Programs Oriented in Production and Industrial Engineering (Car, Zlatan, InoUstZnVO - CEEPUS) ( CroRIS)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište u Rijeci
