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Publication search results
found 25 matches
- 2024
- Robertas Damasevicius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic:
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation. PeerJ Comput. Sci. 10: e1795 (2024) - 2023
- Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang, Wing W. Y. Ng:
Robust recurrent neural networks for time series forecasting. Neurocomputing 526: 143-157 (2023) - Christopher Salazar, Ashis G. Banerjee:
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting. CoRR abs/2307.15830 (2023) - 2022
- Grzegorz Dudek, Slawek Smyl, Pawel Pelka:
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study. CoRR abs/2203.09170 (2022) - 2021
- Sarat Chandra Nayak:
Artificial chemical reaction optimisation of recurrent functional link neural networks for efficient modelling and forecasting of financial time series. Int. J. Autom. Control. 15(6): 669-691 (2021) - Zimeng Lyu, Shuchita Patwardhan, David Stadem, James Langfeld, Steven A. Benson, Seth Thoelke, Travis Desell:
Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters. GECCO Companion 2021: 1735-1743 - Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang:
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR abs/2103.10760 (2021) - 2020
- Zao Zhang, Yuan Dong:
Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data. Complex. 2020: 3536572:1-3536572:8 (2020) - Kasun Bandara, Christoph Bergmeir, Slawek Smyl:
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. Expert Syst. Appl. 140 (2020) - Shuhei Yoshimi, Koji Eguchi:
Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks. EDBT/ICDT Workshops 2020 - Bernardo Pérez Orozco, Stephen J. Roberts:
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks. ESANN 2020: 503-508 - Anibal Flores, Hugo Tito, Deymor Centty:
Comparison of Hybrid Recurrent Neural Networks for Univariate Time Series Forecasting. IntelliSys (1) 2020: 375-387 - Bernardo Pérez Orozco, Stephen J. Roberts:
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks. CoRR abs/2003.12162 (2020) - 2019
- Salihu A. Abdulkarim, Andries P. Engelbrecht:
Time Series Forecasting Using Neural Networks: Are Recurrent Connections Necessary? Neural Process. Lett. 50(3): 2763-2795 (2019) - Gábor Petneházi:
Recurrent Neural Networks for Time Series Forecasting. CoRR abs/1901.00069 (2019) - Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR abs/1909.00590 (2019) - 2018
- Francisco Fernández-Navarro, Maria Angeles de la Cruz, Pedro Antonio Gutiérrez, Adiel Castaño, César Hervás-Martínez:
Time series forecasting by recurrent product unit neural networks. Neural Comput. Appl. 29(3): 779-791 (2018) - Rohaifa Khaldi, Raddouane Chiheb, Abdellatif El Afia:
Feedforward and Recurrent Neural Networks for Time Series Forecasting: Comparative Study. LOPAL 2018: 18:1-18:6 - 2017
- Sascha Krstanovic, Heiko Paulheim:
Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting. SGAI Conf. 2017: 34-46 - Hardik Goel, Igor Melnyk, Arindam Banerjee:
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting. CoRR abs/1709.03159 (2017) - 2016
- Dongxu Shao, Tianyou Zhang, Kamal Mannar, Yue Han:
Time Series Forecasting on Engineering Systems Using Recurrent Neural Networks. ADMA 2016: 459-471 - 2012
- Danko Brezak, Tomislav Bacek, Dubravko Majetic, Josip Kasac, Branko Novakovic:
A comparison of feed-forward and recurrent neural networks in time series forecasting. CIFEr 2012: 1-6 - 2010
- Angel García-Pedrero, Pilar Gómez-Gil:
Time series forecasting using recurrent neural networks and wavelet reconstructed signals. CONIELECOMP 2010: 169-173 - 2009
- Hans Georg Seedig, Ralph Grothmann, Thomas A. Runkler:
Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme. IJCNN 2009: 2846-2853 - 2008
- Mohammad Assaad, Romuald Boné, Hubert Cardot:
A new boosting algorithm for improved time-series forecasting with recurrent neural networks. Inf. Fusion 9(1): 41-55 (2008)
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