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Journal of Automation and Information Sciences

 

ISSN for PRINT: 1064-2315

Institutional price:

$2573.00

Issues per year:

12

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2007, Volume39

Issue 3

  84 pages  

DOI: 10.1615/JAutomatInfScien.v39.i3   

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  • Analysis of Applicability of Neural Networks for Classification of Satellite Data
  • Sergey V. Skakun
    Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine

    Ekaterina V. Nasuro
    National Aviation University, Kiev, Ukraine

    Alla N. Lavrenyuk
    Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine

    Olga M. Kussul
    Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine


    ABSTRACT

    We analyze possibilities of application of different neural networks and methods of their learning for classification of data of remote sensing of the Earth, namely of a multilayer perceptron, learned by different methods of the first and the second order; neural network on the basis of radial basis functions; neural network of ARTMAP type, based on the theory of adaptive resonance.

    DOI: 10.1615/JAutomatInfScien.v39.i3.40

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