<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The author presents the results of research on the use of artificial neural networks in predicting voter turnout. He describes the principles of operation of artificial neural networks, as well as detailed results of two machine learning methods used to predict voter turnout. The research resulted in creation of a functional model that allows for prediction of voter turnout results with a considerable degree of accuracy. The entire research process was carried out using the cartographic research method.</p></abstract>

The author presents the results of research on the use of artificial neural networks in predicting voter turnout. He describes the principles of operation of artificial neural networks, as well as detailed results of two machine learning methods used to predict voter turnout. The research resulted in creation of a functional model that allows for prediction of voter turnout results with a considerable degree of accuracy. The entire research process was carried out using the cartographic research method.

Application of artificial neural networks in predicting voter turnout based on the analysis of demographic data

Polish Cartographical Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The author presents the results of research on the use of artificial neural networks in predicting voter turnout. He describes the principles of operation of...

Application of artificial neural networks in predicting voter turnout based on the analysis of demographic data

Online veröffentlicht: 07. Jan. 2020

Seitenbereich: 109 - 116

Eingereicht: 31. Juli 2019

Akzeptiert: 13. Sept. 2019

DOI: https://doi.org/10.2478/pcr-2019-0010

Schlüsselwörter
artificial neural networks, voter turnout, machine learning, cartographic research method

© 2019 Piotr Michalak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Application of artificial neural networks in predicting voter turnout based on the analysis of demographic data

Online veröffentlicht: 07. Jan. 2020

Seitenbereich: 109 - 116

Eingereicht: 31. Juli 2019

Akzeptiert: 13. Sept. 2019

DOI: https://doi.org/10.2478/pcr-2019-0010

Schlüsselwörterartificial neural networks, voter turnout, machine learning, cartographic research method

© 2019 Piotr Michalak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
artificial neural networks, voter turnout, machine learning, cartographic research method