Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network-Reference-Cited by-同舟云学术

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Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network

Published:2024-11 Issue: Volume:166 Page:112192
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Gao Yuan,Kasihmuddin Mohd Shareduwan Mohd^ORCID,Chen Ju,Zheng Chengfeng,Romli Nurul Atiqah^ORCID,Asyraf Mansor Mohd.,Zamri Nur Ezlin^ORCID

Publisher

Elsevier BV

Reference49 articles.

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2. Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy;Fiske Amelia;J. Med Internet Res,2019

3. Learning representations by back-propagating errors;Rumelhart;Nature,1986

4. Visual speech recognition: improving speech perception in noise through artificial intelligence;Raghavan;Otolaryngol. - Head. Neck Surg. (U. S. ),2020

5. Artificial intelligence in radiology;Hosny,2018

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