# Associative Memory Design Using Support Vector Machines

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/associative-memory-design-using-support-vector-machines/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daniele Casali,Giovanni Costantini,R. Perfetti,Elisa Ricci |
| Citations | 25 |
| DOI | 10.1109/tnn.2006.877539 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://art.torvergata.it/bitstream/2108/29988/2/2006-Associative%20memory%20design%20using%20SVM.pdf |
| OpenAlex ID | https://openalex.org/W2114088415 |
| PMID | 17001978 |
| Type | article |
| Year | 2006 |

## Paper authors

- [Daniele Casali](https://scholariq.org/researchers/daniele-casali/)

## 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/)
- [Neural Networks and Reservoir Computing](https://scholariq.org/topics/neural-networks-and-reservoir-computing/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)

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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.