Integration neural networks and GIS in modeling landscape changes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33150329" target="_blank" >RIV/61989592:15310/14:33150329 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/SGEM2014/B21/S8.084" target="_blank" >http://dx.doi.org/10.5593/SGEM2014/B21/S8.084</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/SGEM2014/B21/S8.084" target="_blank" >10.5593/SGEM2014/B21/S8.084</a>
Alternative languages
Result language
angličtina
Original language name
Integration neural networks and GIS in modeling landscape changes
Original language description
Geographical information system is very powerful tool to manage and analyses land use data. The integration of Geographic Information Systems and Artificial Neural Networks offers a mechanism to lower the cost of analysis of landscape change by reducingthe amount of time spent interpreting data. Artificial Neural Networks (ANNs) have been proven to be useful in the interpretation of natural resource information. Back-Propagation Neural Networks are one of the most common and widely used architectures.Many architectures and types of ANNs have been developed, and many of them are PC-based. Change prediction is based on the analysis of the Markov chain. This process determines the condition of the system on the basis of its previous condition and likelihood of changes which have occurred between them. Models of change serve as useful tools for exploring the various mechanisms by which land use change occurs actual projecting and potential future environmental and evaluating the impact.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing
ISBN
978-619-7105-10-0
ISSN
1314-2704
e-ISSN
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Number of pages
9
Pages from-to
651-658
Publisher name
STEF92 Technology Ltd.
Place of publication
Sofia
Event location
Albena
Event date
Jun 17, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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