EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Long Short-Term Memory (LSTM)"
Narrow search

Narrow search

Year of publication
Subject
All
Forecasting model 17 Prognoseverfahren 17 Theorie 16 Theory 16 Neural networks 14 Neuronale Netze 14 Artificial intelligence 12 Künstliche Intelligenz 12 Long short-term memory (LSTM) 9 Time series analysis 8 Zeitreihenanalyse 8 long short-term memory (LSTM) 8 Börsenkurs 6 Deep learning 6 Share price 6 Long Short-Term Memory (LSTM) 5 Portfolio selection 5 Portfolio-Management 5 Recurrent Neural Network (RNN) 4 China 3 Forecast 3 Gated Recurrent Unit (GRU) 3 Learning process 3 Lernprozess 3 Mustererkennung 3 Pattern recognition 3 Prognose 3 deep learning 3 ARMA model 2 ARMA-Modell 2 Aktienindex 2 Aktienmarkt 2 Auto-Regressive Integrated Moving Averages (ARIMA) 2 Business Intelligence 2 CAPM 2 Consumer behaviour 2 Convolutional Neural Network (CNN) 2 Coronavirus 2 Customer Analysis 2 Customer satisfaction 2
more ... less ...
Online availability
All
Undetermined 25 Free 10 CC license 6
Type of publication
All
Article 34 Book / Working Paper 1
Type of publication (narrower categories)
All
Article in journal 30 Aufsatz in Zeitschrift 30 Arbeitspapier 1 Article 1 Aufsatz im Buch 1 Book section 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1 research-article 1
more ... less ...
Language
All
English 35
Author
All
Abdi, Farshid 2 Abolmakarem, Shaghayegh 2 Chakraborty, Ishita 2 Didehkhani, Hosein 2 Fu, Hao 2 Healy, Brian 2 Khalili-Damghani, Kaveh 2 Khorrami, Farshad 2 Kim, Minkyung 2 Liu, Hao 2 Londhe, Sanket Tanaji 2 Palwe, Sushila 2 Papanicolaou, Andrew 2 Sudhir, K. 2 Xia, Shenghao 2 Yao, Haixiang 2 Abid, Ilyes 1 Akter, Sharmin 1 Al Ali, Amal 1 Al Theeb, Nader 1 Al-Qaydeh, Naser 1 Awad, Mahmoud 1 Ben Abdelaziz, Fouad 1 BenMabrouk, Houda 1 Bisht, Kiran 1 Büyüktahtakın, İ. Esra 1 Choi, Sun 1 Devarajan, Jinil Persis 1 Dhilipan, J. 1 El Bannany, Madgi 1 Esfahbodi, Ali 1 Fang, Yuantao 1 Fecamp, Simon 1 Gao, Yu 1 Gururaj H. L. 1 Haridy, Salah 1 He, Bate 1 Hossain, Md. Alamgir 1 Jammeli, Haifa 1 Kanakkayil, Sakeena 1
more ... less ...
Published in...
All
Data science and management : DSM 2 IEEE transactions on engineering management : EM 2 IEEE transactions on engineering management : EM ; a publication of the IEEE Engineering Management Society 2 Journal of forecasting 2 Operations research forum 2 The journal of computational finance 2 Business Systems Research (BSR) 1 Business systems research : a system view accross technology & economics : the journal of Society for Advancing Innovation and Research in Economy 1 Computational economics 1 Cowles Foundation discussion paper 1 Emerging Markets Journal : EMAJ 1 Entrepreneurship, Innovation, and Technology : A Holistic Analysis of Growth Factors 1 International Journal of Financial Studies : open access journal 1 International Journal of Information System Modeling and Design (IJISMD) 1 International journal of forecasting 1 International journal of production research 1 International review of financial analysis 1 Journal of Modelling in Management 1 Journal of air transport management 1 Journal of industrial engineering and management : JIEM 1 Journal of marketing research 1 Journal of mathematical finance 1 Journal of modelling in management 1 Pacific-Basin finance journal 1 Review of economics 1 The North American journal of economics and finance : a journal of financial economics studies 1 The journal of computational finance : JFC 1 The review of socionetwork strategies 1
more ... less ...
Source
All
ECONIS (ZBW) 32 Other ZBW resources 2 EconStor 1
Showing 1 - 10 of 35
Cover Image
Bayesian-optimized ensemble deep learning models for demand forecasting in the volatile situations : a case study of grocery demand during Covid-19 outbreaks
Al Theeb, Nader; Smadi, Hazem; Al-Qaydeh, Naser - In: Journal of industrial engineering and management : JIEM 18 (2025) 1, pp. 193-213
Purpose: Lockdown and movement restrictions that imposed by governments have significantly changed customers behavior, making the planning and decision-making processes more challenging. Providing accurate estimation of the demand, enable managers to take more successful decisions and allow...
Persistent link: https://www.econbiz.de/10015414985
Saved in:
Cover Image
Audiovisual speech recognition based on a deep convolutional neural network
Rudregowda, Shashidhar; Patilkulkarni, Sudarshan; Ravi, … - In: Data science and management : DSM 7 (2024) 1, pp. 25-34
Audiovisual speech recognition is an emerging research topic. Lipreading is the recognition of what someone is saying using visual information, primarily lip movements. In this study, we created a custom dataset for Indian English linguistics and categorized it into three main categories: (1)...
Persistent link: https://www.econbiz.de/10014518032
Saved in:
Cover Image
Food products pricing theory with application of machine learning and game theory approach
Mamoudan, Mobina Mousapour; Mohammadnazari, Zahra; … - In: International journal of production research 62 (2024) 15, pp. 5489-5509
Persistent link: https://www.econbiz.de/10015053701
Saved in:
Cover Image
Hybrid scientific article recommendation system with COOT optimization
Sivasankari, R.; Dhilipan, J. - In: Data science and management : DSM 7 (2024) 2, pp. 99-107
Today, recommendation systems are everywhere, making a variety of activities considerably more manageable. These systems help users by personalizing their suggestions to their interests and needs. They can propose various goods, including music, courses, articles, agricultural products,...
Persistent link: https://www.econbiz.de/10015063139
Saved in:
Cover Image
GALSTM-FDP : a time-series modeling approach using hybrid GA and LSTM for financial distress prediction
Al Ali, Amal; Khedr, Ahmed M.; El Bannany, Madgi; … - In: International Journal of Financial Studies : open … 11 (2023) 1, pp. 1-15
Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial risk at the lowest possible cost. However, in the Internet...
Persistent link: https://www.econbiz.de/10013550107
Saved in:
Cover Image
Stock price forecasting with integration of sectoral behavior : a deep auto-optimized multimodal framework
Saraswat, Renu; Kumar, Ajit - In: Journal of forecasting 44 (2025) 5, pp. 1767-1784
Persistent link: https://www.econbiz.de/10015464725
Saved in:
Cover Image
The impact of outlier detection algorithms on statistical, machine learning and deep learning forecast models
Sener, Ugur; Terregrossa, Salvatore Joseph - In: Review of economics 76 (2025) 1, pp. 1-21
Persistent link: https://www.econbiz.de/10015464071
Saved in:
Cover Image
Customer-centric sales forecasting model: RFM-ARIMA approach
Londhe, Sanket Tanaji; Palwe, Sushila - In: Business Systems Research (BSR) 13 (2022) 1, pp. 35-45
Background: Decision makers use the process of determining the best course of action by processing, analysing & interpreting the data to gain insights, known as Business Intelligence. Some decision support systems use sales figures to predict future expansion, but few consider the effect of...
Persistent link: https://www.econbiz.de/10015408664
Saved in:
Cover Image
A deep learning classification model for Persian Hafez poetry based on the poet’s era
Ruma, Jannatul Ferdous; Akter, Sharmin; Laboni, Jesrin Jahan - 2022
highest accuracy when we used the Distributed Memory model for document embedding and Long Short-Term Memory (LSTM) model for …
Persistent link: https://www.econbiz.de/10013448568
Saved in:
Cover Image
Customer-centric sales forecasting model : RFM-ARIMA approach
Londhe, Sanket Tanaji; Palwe, Sushila - In: Business systems research : a system view accross … 13 (2022) 1, pp. 35-45
Background: Decision makers use the process of determining the best course of action by processing, analysing & interpreting the data to gain insights, known as Business Intelligence. Some decision support systems use sales figures to predict future expansion, but few consider the effect of...
Persistent link: https://www.econbiz.de/10013542067
Saved in:
  • 1
  • 2
  • 3
  • 4
  • Next
  • Last
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...