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Title
Research and applications of artificial neural networks in spatial analysis: Review

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Garczyńska, Ilona1
URI: https://repository.am.szczecin.pl/handle/123456789/2775
2023-06-30
The conducted review presents the possibility of using artificial neural networks in sectors related to environmental protection, agriculture, forestry, land uses, groundwater and bathymetric. Today there is a lot of research in these areas with different research methodologies. The result is the improvement of decision-making processes, design, and prediction of certain events that, with appropriate intervention, can prevent severe consequences for society. The review shows the capabilities to optimize and automate the processes of modeling urban and land dynamics. It examines the forecasts of assessment of the damage caused by natural phenomena. Detection of environmental changes via the analysis of certain time intervals and classification of objects on the basis of different images is presented. The practical aspects of this work include the ability to choose the correct artificial neural network model depending on the complexity of the problem. This factor is a novel element since previously reviewed articles did not encounter a study of the correlation between the chosen model or algorithm, depending on the use case or area of the problem. This article seeks to outline the reason for the interest in artificial intelligence. Its purpose is to find answers to the following questions: How can artificial neural networks be used for spatial analysis? What does the implementation of detailed algorithms depend on? It is proved that an artificial intelligence approach can be an effective and powerful tool in various domains where spatial aspects are important.
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Title

Research and applications of artificial neural networks in spatial analysis: Review

Pages

Figures

3

Tables

1

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/562

Type

Original scientific article

Journal

74 Scientific Journals of the Maritime University of Szczecin, no. 74 / 2023

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2023-06-30

Recieved

2022-10-15

Accepted

2023-04-12

Funding

No data

Keywords

spatial analysis, GIS, artificial neural network, artificial intelligence, geosciences

URI:

https://repository.am.szczecin.pl/handle/123456789/2775

Language

English

Authors

Garczyńska, Ilona1

Affiliation

1 Maritime University of Szczecin 1-2 Wały Chrobrego St., 70-500 Szczecin, Poland, i.garczynska@pm.szczecin.pl

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