# On the adaptation of recurrent neural networks for system identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/on-the-adaptation-of-recurrent-neural-networks-for-system-identification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marco Forgione,Aneri Muni,Dario Piga,Marco Gallieri |
| Citations | 32 |
| DOI | 10.1016/j.automatica.2023.111092 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.automatica.2023.111092 |
| OpenAlex ID | https://openalex.org/W4379929627 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Marco Gallieri](https://scholariq.org/researchers/marco-gallieri/)

## Paper primary topic

- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)

## Paper topics

- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)
- [Target Tracking and Data Fusion in Sensor Networks](https://scholariq.org/topics/target-tracking-and-data-fusion-in-sensor-networks/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

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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.