@inproceedings{dc7e5f203fcc48118a24724682ef8ae8,
title = "Future Graduate Salaries Prediction Model Based on Recurrent Neural Network",
abstract = "Prediction models are widely applied in several fields. In this study we present a discussion on using Recurrent Neural Network as predictor for salaries of future graduates. The model is based on feature analysis which leads to input values of the predictor. We have analyzed several compositions and ideas. As a result we have selected Recurrent Neural Network to be the most accurate. Presented results confirm this selection and show high precision.",
keywords = "Prediction model, Recurrent Neural Networks",
author = "Jakub Silka and Michal Wieczorek and Marcin Wozniak",
note = "Publisher Copyright: {\textcopyright} 2020 Polish Information Processing Society - as it is since 2011.; 15th Federated Conference on Computer Science and Information Systems, FedCSIS 2020 ; Conference date: 06-09-2020 Through 09-09-2020",
year = "2020",
month = sep,
doi = "10.15439/2020F52",
language = "English",
series = "Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "427--430",
editor = "Maria Ganzha and Leszek Maciaszek and Leszek Maciaszek and Marcin Paprzycki",
booktitle = "Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020",
address = "United States",
}