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Convergence of batch gradient learning with smoothing regularization and adaptive momentum for neural networks
This paper presents new theoretical results on the backpropagation algorithm with smoothing [Formula: see text] regularization and adaptive momentum for feedforward neural networks with a single hidden layer, i.e., we show that the gradient of error function goes to zero and the weight sequence goes...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783325/ https://www.ncbi.nlm.nih.gov/pubmed/27066332 http://dx.doi.org/10.1186/s40064-016-1931-0 |