Hyper-parameter Optimization of LSTM Network Using Genetic Algorithm and Q-Learning Algorithm for Classification of COVID-19 Dataset-Reference-Cited by-同舟云学术

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Hyper-parameter Optimization of LSTM Network Using Genetic Algorithm and Q-Learning Algorithm for Classification of COVID-19 Dataset

Published:2023-05-03 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Web Research (ICWR)
language:
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Author:

Parvizimosaed Mohammadreza¹,Esnaashari Mehdi¹,Damia Amirhossein¹,Paband Masoume Teimouri²

Affiliation:

1. K. N. Toosi University of Technology,Faculty of Computer Engineering,Tehran,Iran

2. Islamic Azad University,Department of Computer Engineering Abhar Branch,Abhar,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10138905/10138951/10139161.pdf?arnumber=10139161

Reference37 articles.

1. Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

2. Combining K-Means and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering

3. ReCOVery

4. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction

5. Characterizing covid-19 misinformation communities using a novel twitter dataset;memon,2020

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