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GENERATING RAINFALL-RUNOFF DATA COLLECTION FOR CALIBRATION OF MACHINE LEARNING DRIVEN MODELS

Kocyan, Tomas, Podhoranyi, Michal, Fedorcak, Dusan, Martinovic, Jan

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b21/s7.025View metrics

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Title
GENERATING RAINFALL-RUNOFF DATA COLLECTION FOR CALIBRATION OF MACHINE LEARNING DRIVEN MODELS
Authors
Kocyan, Tomas, Podhoranyi, Michal, Fedorcak, Dusan, Martinovic, Jan
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-10-0
Language
en
Publication type
Conference Paper
References14

  1. Brázdil, R. Historické a Současné Povodne v České Republice, p. 369 . Brno-Praha. MU Brno a ČHMÚ, p. ISBN 80-210-3864-0.

  2. Minns, A. W., Hall, M. J. Artificial neural networks as rainfall-runoff models, Hydrological Sciences Journal, 41:3, 399-417, 1996.

  3. Kocyan, T., Martinovic, J. et al. „FLOREON+: Using CBR in System for Flood Predictions“, Disaster Management and Human Health Risk: Reducing Risk, Improving Outcomes, ISBN: 978-1-84564-202-0, 2009.

  4. Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches, AI Communications, vol. 7, no. 1, p. 39–59, 1994.

  5. Watson, I. Applying Case-Based Reasoning: Techniques for Enterprise Systems (The Morgan Kaufmann Series in Artificial Intelligence), ISBN-10: 1558604626, 1997.

  6. Bedient, P.B., Huber, W.C., Vieux, B.C. Hydrology and Floodplain Analysis, p. 795. 4th edition. Prentice Hall, London, s. ISBN: 978-0131745896, 2007.

  7. Martinovič J., Kuchař, S. et al. Multiple scenarios computing in the flood prediction system FLOREON+. 24th European Conference on Modelling and Simulation, Kuala Lumpur; Malaysia; 2010.

  8. Brázdil, R. Historické a Současné Povodne v České Republice, p. 369 . Brno-Praha. MU Brno a ČHMÚ, p. ISBN 80-210-3864-0.

  9. Minns, A. W., Hall, M. J. Artificial neural networks as rainfall-runoff models, Hydrological Sciences Journal, 41:3, 399-417, 1996.

  10. Kocyan, T., Martinovic, J. et al. „FLOREON+: Using CBR in System for Flood Predictions“, Disaster Management and Human Health Risk: Reducing Risk, Improving Outcomes, ISBN: 978-1-84564-202-0, 2009.

  11. Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches, AI Communications, vol. 7, no. 1, p. 39–59, 1994.

  12. Watson, I. Applying Case-Based Reasoning: Techniques for Enterprise Systems (The Morgan Kaufmann Series in Artificial Intelligence), ISBN-10: 1558604626, 1997.

  13. Bedient, P.B., Huber, W.C., Vieux, B.C. Hydrology and Floodplain Analysis, p. 795. 4th edition. Prentice Hall, London, s. ISBN: 978-0131745896, 2007.

  14. Martinovič J., Kuchař, S. et al. Multiple scenarios computing in the flood prediction system FLOREON+. 24th European Conference on Modelling and Simulation, Kuala Lumpur; Malaysia; 2010.

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