Search Results - subject:"LSTM"

Short-term prediction of passenger volume for urban rail systems : a deep learning approach based on smart-card data

Yang, Xin; Xue, Quichi; Ding, Meiling; Wu, Jianjun; … - In: International journal of production economics 231 (2021), pp. 1-12

Persistent link: https://www.econbiz.de/10012415418

Forecasting tourist daily arrivals with a hybrid SARIMA-LSTM approach

Wu, Chi Wai; Ji, Lei; He, Kaijian; Tso, Kwok Fai Geoffrey - In: Journal of hospitality & tourism research : JHTR ; the … 45 (2021) 1, pp. 52-67

Persistent link: https://www.econbiz.de/10012426089

LSTM response models for direct marketing analytics : replacing feature engineering with deep learning

Sarkar, Mainak; De Bruyn, Arnaud - In: Journal of interactive marketing : a quarterly … 53 (2021), pp. 80-95

Persistent link: https://www.econbiz.de/10012502848

Cash flow prediction : MLP and LSTM compared to ARIMA and Prophet

Weytjens, Hans; Lohmann, Enrico; Kleinsteuber, Martin - In: Electronic commerce research 21 (2021) 2, pp. 371-391

Persistent link: https://www.econbiz.de/10012588032

The application of sequential generative adversarial networks for stock price prediction

He, Bate; Kita, Eisuke - In: The review of socionetwork strategies 15 (2021) 2, pp. 455-470

Persistent link: https://www.econbiz.de/10012662575

Grouping of contracts in insurance using neural networks

Kiermayer, Mark; Weiß, Christian - In: Scandinavian actuarial journal 2021 (2021) 4, pp. 295-322

Persistent link: https://www.econbiz.de/10012515735

Improving stock price prediction using the long short-term memory model combined with online social networks

Liu, Keyan; Zhou, Jianan; Dong, Dayong - In: Journal of behavioral and experimental finance 30 (2021), pp. 1-11

Persistent link: https://www.econbiz.de/10012814922

Deep learning for discrete-time hedging in incomplete markets

Fecamp, Simon; Mikael, Joseph; Warin, Xavier - In: The journal of computational finance 25 (2021) 2, pp. 51-85

Persistent link: https://www.econbiz.de/10012938887

Fate of some tourism companies pre and during Covid 19 : using various machine learning models

Sarkar, Astma - In: Praj̄nȧn : journal of social and management sciences 51 (2022/2023) 1, pp. 9-32

Persistent link: https://www.econbiz.de/10013477522

Deep learning with long short-term memory networks for financial market predictions

Fischer, Thomas; Krauss, Christopher - 2017

Long short-term memory (LSTM) networks are a state-of-the-art technique for sequence learning. They are less commonly … applied to financial time series predictions, yet inherently suitable for this domain. We deploy LSTM networks for predicting … 0.46 percent and a Sharpe Ratio of 5.8 prior to transaction costs, we find LSTM networks to outperform memory …

Persistent link: https://www.econbiz.de/10011644777