Multivariate Bitcoin price prediction based on LSTM tuned by hybrid reptile search algorithm-Reference-Cited by-同舟云学术

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Multivariate Bitcoin price prediction based on LSTM tuned by hybrid reptile search algorithm

Published:2023-10-25 Issue: Volume: Page:
ISSN:
Container-title:2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)
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Author:

Todorovic Mihailo¹,Petrovic Aleksandar²,Toskovic Ana³,Zivkovic Miodrag²,Jovanovic Luka⁴,Bacanin Nebojsa²

Affiliation:

1. Singidunum University,Faculty of Business,Belgrade,Serbia,11000

2. Singidunum University,Faculty of Informatics and Computing,Belgrade,Serbia,11000

3. University of Pristina,Teacher Education Faculty,Kosovska Mitrovica,Serbia,38220

4. Singidunum University,Faculty of Technical Sciences,Belgrade,Serbia,11000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10315951/10315716/10316108.pdf?arnumber=10316108

Reference27 articles.

1. Smart wireless health care system using graph LSTM pollution prediction and dragonfly node localization

2. Tuning Artificial Neural Network for Healthcare 4.0. by Sine Cosine Algorithm

3. Enhanced Dragonfly Algorithm Adapted for Wireless Sensor Network Lifetime Optimization

4. Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm

5. Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study

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2. Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks;International Journal of Hybrid Intelligent Systems;2024-05-13

3. Crop Yield Forecasting Based on Echo State Network Tuned by Crayfish Optimization Algorithm;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

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