Neural Networks Learning Using Method of Fuzzy Ellipsoidal Estimates

Nataliya N. Kussul

doi:10.1615/JAutomatInfScien.v33.i3.70

Journal of Automation and Information Sciences

編集長: Arkadiy A. Chikriy (open in a new tab)

編集アソシエイトs: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

年間 12 号発行

ISSN 印刷: 1064-2315

ISSN オンライン: 2163-9337

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Neural Networks Learning Using Method of Fuzzy Ellipsoidal Estimates

巻 33, 発行 3, 2001, 6 pages

DOI: 10.1615/JAutomatInfScien.v33.i3.70

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Nataliya N. Kussul
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine

要約

A new method for feed-forward neural networks is presented. The method is based on the use of a non-stochastic analogue of Kalman filter. Efficiency of the method is confirmed by results of numeric modeling.

によって引用された

Skakun Sergii, Kussul Nataliia, Kussul Olga, Shelestov Andrii, Quantitative estimation of drought risk in Ukraine using satellite data, 2014 IEEE Geoscience and Remote Sensing Symposium, 2014. Crossref
Kussul Nataliia, Kolotii Andrii, Skakun Sergii, Shelestov Andrii, Kussul Olga, Oliynuk Tamara, Efficiency estimation of different satellite data usage for winter wheat yield forecasting in Ukraine, 2014 IEEE Geoscience and Remote Sensing Symposium, 2014. Crossref
Kussul Nataliia, Skakun Sergii, Shelestov Andrii, Kussul Olga, The use of satellite SAR imagery to crop classification in Ukraine within JECAM project, 2014 IEEE Geoscience and Remote Sensing Symposium, 2014. Crossref
Kussul Nataliia, Skakun Sergii, Shelestov Andrii Yu., Kussul Olga, Yailymov Bohdan, Resilience Aspects in the Sensor Web Infrastructure for Natural Disaster Monitoring and Risk Assessment Based on Earth Observation Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 9, 2014. Crossref
Lavreniuk Mykola, Kussul Nataliia, Skakun Sergii, Shelestov Andrii, Yailymov Bohdan, Regional retrospective high resolution land cover for Ukraine: Methodology and results, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015. Crossref
Opanasenko V. N., Kryvyi S. L., Partitioning the full range of boolean functions based on the threshold and threshold relation, Cybernetics and Systems Analysis, 48, 3, 2012. Crossref

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Neural Networks Learning Using Method of Fuzzy Ellipsoidal Estimates

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