Adapting and enhancing mussels wandering optimization algorithm for supervised training of neural networks

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Adapting and enhancing mussels wandering optimization algorithm for supervised training of neural networks

Membangunkan kaedah latihan yang cekap untuk Rangkaian Neural (NN) dalam mencapai kejituan yang tinggi adalah satu cabaran. Tambahan pula, latihan NN masih lagi memerlukan masa yang lama. Algoritma Pengoptimuman Perayauan Kupang (MWO) ialah satu algoritma pengoptimuman metaheuristik yang baru dan...

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Bibliographic Details
Main Author:	Abusnaina, Ahmed A. A.
Format:	Thesis
Language:	English
Published:	2015
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/35580/ http://eprints.usm.my/35580/1/PhD_Thesis_Abusnaina_Adapting_and__Enhancing_MWO_Algorithm_for_Supervised_Trainnig_of_NN_%281%29.pdf

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