Training extreme learning machine with accelerator algorithm
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Published:
Dec 11, 2015
Keywords:
Máquina de aprendizaje extremo, Algoritmo ARγ, redes neuronales sin realimentación, filtros adaptativos
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Abstract
This paper presents a new algorithm for training neural networks fed back not one hidden layer which combines the properties of the end machine learning algorithm with AR? occurs. The proposed algorithm has low computational complexity and tests show a high performance in terms of generalization.
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How to Cite
Jojoa Gómez, P. E. ., & Castro Caicedo, F. M. . (2015). Training extreme learning machine with accelerator algorithm. I+ T+ C- Research, Technology and Science - Unicomfacauca, 1(9), 37–42. Retrieved from https://revistas.unicomfacauca.edu.co/ojs/index.php/itc/article/view/itc2015_pag_37_42
Section
Research Papers
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