AEFA for Training Neural Network (GAEFA-HK)

Versione 1.0.1 (170 KB) da Dr Anupam Yadav

Multi-Agent AEFA Optimization Algorithm for Training Neural Networks,

https://github.com/anupuam/GAEFA-HK

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Aggiornato 7 set 2023

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GAEFA-HK

Multi-Agent AEFA Optimization Algorithm for Training Neural Networks,

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Dr Anupam Yadav (2024). AEFA for Training Neural Network (GAEFA-HK) (https://github.com/anupuam/GAEFA-HK), GitHub. Recuperato novembre 29, 2024.

Chauhan, Dikshit, et al. “A Multi-Agent Optimization Algorithm and Its Application to Training Multilayer Perceptron Models.” Evolving Systems, Springer Science and Business Media LLC, July 2023, doi:10.1007/s12530-023-09518-9.

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Creato con R2023a

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Ispirato da: AEFA: Artificial Electric Field Algorithm, Binary Artificial Electric Field Algorithm

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Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione	Pubblicato	Note della release
1.0.1	7 set 2023	Minor Change
1.0.0	7 set 2023

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.

MLA	Chauhan, Dikshit, et al. “A Multi-Agent Optimization Algorithm and Its Application to Training Multilayer Perceptron Models.” Evolving Systems, Springer Science and Business Media LLC, July 2023, doi:10.1007/s12530-023-09518-9.
APA	Chauhan, D., Yadav, A., & Neri, F. (2023). A multi-agent optimization algorithm and its application to training multilayer perceptron models. Evolving Systems. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs12530-023-09518-9
BibTeX	@article{Chauhan_2023, doi = {10.1007/s12530-023-09518-9}, url = {https://doi.org/10.1007%2Fs12530-023-09518-9}, year = 2023, month = {jul}, publisher = {Springer Science and Business Media {LLC}}, author = {Dikshit Chauhan and Anupam Yadav and Ferrante Neri}, title = {A multi-agent optimization algorithm and its application to training multilayer perceptron models}, journal = {Evolving Systems} }