# Multilayer Feed Forward Models in Groundwater Level Forecasting Using Meteorological Data in Public Management

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multilayer-feed-forward-models-in-groundwater-level-forecasting-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Georgios N. Kouziokas,Alexander Chatzigeorgiou,Κonstantinos Perakis |
| Citations | 64 |
| DOI | 10.1007/s11269-018-2126-y |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2900622526 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Κonstantinos Perakis](https://scholariq.org/researchers/onstantinos-perakis/)

## 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/)
- [Hydrological Forecasting Using AI](https://scholariq.org/topics/hydrological-forecasting-using-ai/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

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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.