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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DE - Earth magnetism, geodesy, geography

  • OECD FORD branch

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

  • 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