A novel study on forecasting the airfoil self-noise, using a hybrid model based on the combination of CatBoost and Arithmetic Optimization Algorithm-Reference-Cited by-同舟云学术

A novel study on forecasting the airfoil self-noise, using a hybrid model based on the combination of CatBoost and Arithmetic Optimization Algorithm

Published:2023-11 Issue: Volume:229 Page:120576
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rastgoo Amir^ORCID,Khajavi Hamed^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

1. The arithmetic optimization algorithm;Abualigah;Computer Methods in Applied Mechanics and Engineering,2021

2. Aquila Optimizer: A novel meta-heuristic optimization algorithm;Abualigah;Computers & Industrial Engineering,2021

3. Effects of sample size of ground motions on seismic fragility analysis of offshore jacket platforms using Genetic Algorithm;Abyani;Ocean Engineering,2019

4. Implementing modified swarm intelligence algorithm based on Slime moulds for path planning and obstacle avoidance problem in mobile robots;Agarwal;Applied Soft Computing,2021

5. Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review;Bhosale;Neural Processing Letters,2022

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