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Descripción
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| In this paper we present the Newton neural network. We state several theorems that reveal this trained net as the best approximator to any curve or surface with the least number of training patterns. The low number of training samples is an advantage in this type of neural networks, as it affects substantially lowering the computational cost and training time. AMS Subject Classification: 68T05 Key Words: backpropagation, artificial neural networks, adaptive learning, functional-link neural networks | |
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Internacional
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JCR del ISI
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Título de la revista
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International Journal of Pure and Applied Mathematics |
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ISSN
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1311-8080 |
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Factor de impacto JCR
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Información de impacto
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Volumen
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82 |
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DOI
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http://dx.doi.org/10.12732/ijpam.v82i4.13 |
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Número de revista
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4 |
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Desde la página
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639 |
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Hasta la página
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661 |
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Mes
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Ranking
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