Evolving Deep Neural Network by Customized Moth-Flame Optimization Algorithm for Underwater Targets Recognition

Mohammad Khishe; Mokhtar Mohammadi; Tarik A. Rashid; Hoger Mahmud; Seyedali Mirjalili

doi:10.1201/9781003205326-5

Evolving Deep Neural Network by Customized Moth-Flame Optimization Algorithm for Underwater Targets Recognition

Mohammad Khishe, Mokhtar Mohammadi, Tarik A. Rashid, Hoger Mahmud, Seyedali Mirjalili

Artificial Intelligence Research and Optimization

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Original language	English
Title of host publication	Handbook of Moth-Flame Optimization Algorithm
Subtitle of host publication	Variants, Hybrids, Improvements, and Applications
Publisher	CRC Press
Pages	53-76
Number of pages	24
ISBN (Electronic)	9781000655605
ISBN (Print)	9781032070919
DOIs	https://doi.org/10.1201/9781003205326-5
Publication status	Published - 1 Jan 2022

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10.1201/9781003205326-5

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Evolving Deep Neural Network by Customized Moth-Flame Optimization Algorithm for Underwater Targets Recognition. / Khishe, Mohammad; Mohammadi, Mokhtar; Rashid, Tarik A. et al.
Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications. CRC Press, 2022. p. 53-76.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Evolving Deep Neural Network by Customized Moth-Flame Optimization Algorithm for Underwater Targets Recognition

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AU - Mohammadi, Mokhtar

AU - Rashid, Tarik A.

AU - Mahmud, Hoger

AU - Mirjalili, Seyedali

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BT - Handbook of Moth-Flame Optimization Algorithm

PB - CRC Press

ER -

Evolving Deep Neural Network by Customized Moth-Flame Optimization Algorithm for Underwater Targets Recognition

UN SDGs

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