EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues MATEC Web Conf., 232 (2018) 01024 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and long short-term memory neural network to copper price forecasting

Yong-Hyong Kim, Song-Jun Ham, Chong-Sim Ri, Won-Hyok Kim and Wi-Song Ri
Portuguese Economic Journal 24 (1) 151 (2025)
https://doi.org/10.1007/s10258-024-00252-x

A new training algorithm for long short-term memory artificial neural network based on particle swarm optimization

Turan Cansu, Emine Kolemen, Özlem Karahasan, Eren Bas and Erol Egrioglu
Granular Computing 8 (6) 1645 (2023)
https://doi.org/10.1007/s41066-023-00389-8

A time-varying stock portfolio selection model based on optimized PSO-BiLSTM and multi-objective mathematical programming under budget constraints

Jalil Vaziri, Dariush Farid, Mehdi Nazemi Ardakani, Seyed Mojtaba Hosseini Bamakan and MohammadAli Shahlaei
Neural Computing and Applications 35 (25) 18445 (2023)
https://doi.org/10.1007/s00521-023-08669-9

A Deep Learning Framework for the Classification of Brazilian Coins

Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra and Ali Bostani
IEEE Access 11 109448 (2023)
https://doi.org/10.1109/ACCESS.2023.3321428

Developing an Integrated Smart Model to Enhance the Efficacy of Stock Market Prediction by Leveraging XGBoost and Long Short-Term Memory Networks

Arnav Goen
International Journal of Transformations in Business Management 13 (1) 110 (2023)
https://doi.org/10.37648/ijtbm.v13i01.010

Streamflow forecasting using a hybrid LSTM-PSO approach: the case of Seyhan Basin

Bulent Haznedar, Huseyin Cagan Kilinc, Furkan Ozkan and Adem Yurtsever
Natural Hazards 117 (1) 681 (2023)
https://doi.org/10.1007/s11069-023-05877-3

Long-Term Electricity Demand Forecasting in the Steel Complex Micro-Grid Electricity Supply Chain—A Coupled Approach

Sepehr Moalem, Roya M. Ahari, Ghazanfar Shahgholian, Majid Moazzami and Seyed Mohammad Kazemi
Energies 15 (21) 7972 (2022)
https://doi.org/10.3390/en15217972

Identification of oil authenticity and adulteration using deep long short-term memory-based neural network with seagull optimization algorithm

V. Surya and A. Senthilselvi
Neural Computing and Applications 34 (10) 7611 (2022)
https://doi.org/10.1007/s00521-021-06829-3

The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)

Kuo-Chi Chang, Elias Turatsinze, Jishi Zheng, et al.
Lecture Notes on Data Engineering and Communications Technologies, The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) 113 125 (2022)
https://doi.org/10.1007/978-3-031-03918-8_12

Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm

X.J. Luo and Lukumon O. Oyedele
Advanced Engineering Informatics 50 101357 (2021)
https://doi.org/10.1016/j.aei.2021.101357

Advances in Signal Processing and Intelligent Recognition Systems

Heide Oller, Rolf Dornberger and Thomas Hanne
Communications in Computer and Information Science, Advances in Signal Processing and Intelligent Recognition Systems 1365 144 (2021)
https://doi.org/10.1007/978-981-16-0425-6_11