Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines

Objectives. Recent research in machine learning and artificial intelligence aimed at improving prediction accuracy and reducing computational complexity resulted in a novel neural network architecture referred to as an extreme learning machine (ELM). An ELM comprises a single-hidden-layer feedforwar...

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Detaylı Bibliyografya
Asıl Yazarlar:	L. A. Demidova, A. V. Gorchakov
Materyal Türü:	Artigo
Dil:	Russo
Baskı/Yayın Bilgisi:	MIREA - Russian Technological University 2022-04-01
Seri Bilgileri:	Российский технологический журнал
Konular:	neural networks extreme learning machine bioinspired algorithms genetic algorithm particle swarm optimization algorithm fish school search algorithm machine learning regression analysis
Online Erişim:	https://www.rtj-mirea.ru/jour/article/view/485
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines

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