# Efficient training for dendrite morphological neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-training-for-dendrite-morphological-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Humberto Sossa,Elizabeth Guevara‐Gutiérrez |
| Citations | 76 |
| DOI | 10.1016/j.neucom.2013.10.031 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0925231213010916/pdf |
| OpenAlex ID | https://openalex.org/W2045151223 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Humberto Sossa](https://scholariq.org/researchers/humberto-sossa/)

## 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/)
- [Fuzzy Logic and Control Systems](https://scholariq.org/topics/fuzzy-logic-and-control-systems/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

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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.
