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Geometric Regularized Hopfield Neural Network for Medical Image Enhancement
One of the major shortcomings of Hopfield neural network (HNN) is that the network may not always converge to a fixed point. HNN, predominantly, is limited to local optimization during training to achieve network stability. In this paper, the convergence problem is addressed using two approaches: (a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7847341/ https://www.ncbi.nlm.nih.gov/pubmed/33552152 http://dx.doi.org/10.1155/2021/6664569 |