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Superiority of quadratic over conventional neural networks for classification of gaussian mixture data
To enrich the diversity of artificial neurons, a type of quadratic neurons was proposed previously, where the inner product of inputs and weights is replaced by a quadratic operation. In this paper, we demonstrate the superiority of such quadratic neurons over conventional counterparts. For this pur...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515302/ https://www.ncbi.nlm.nih.gov/pubmed/36167898 http://dx.doi.org/10.1186/s42492-022-00118-z |