# Towards a mathematical framework to inform neural network modelling via polynomial regression

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-a-mathematical-framework-to-inform-neural-network-modelling-via/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pablo Morala,Jenny Cifuentes,Rosa E. Lillo,Iñaki Úcar |
| Citations | 39 |
| DOI | 10.1016/j.neunet.2021.04.036 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2102.03865 |
| OpenAlex ID | https://openalex.org/W3127046748 |
| PMID | 33984736 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Jenny Cifuentes](https://scholariq.org/researchers/jenny-cifuentes/)

## Paper journal

- [Neural Networks](https://scholariq.org/journals/neural-networks/)

## Paper primary topic

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Paper topics

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.