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Neural network prediction of geomagnetic activity: a method using local Hölder exponents
Title Neural network prediction of geomagnetic activity: a method using local Hölder exponents Author Vörös Zoltán 1959- SAVGEOF - Geofyzikálny ústav SAV Co-authors Jankovičová Dana SAVGEOF - Geofyzikálny ústav SAV Source document Nonlinear Processes in Geophysics. Vol. 9, no. 5 (2002), p. 425-433 Language eng - English Document kind rozpis článkov z periodík (rbx) Citations TURCHENKO, Volodymyr - DEMCHUK, Viktor - SACHENKO, Anatoly. Interplanetary shock arrival time prediction using multi-layer perceptron. In IDAACS 2007: PROCEEDINGS OF THE 4TH IEEE WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS, 2007, vol., no., 185-190. ISBN 9781424413485. PARSAPOOR, Mahboobeh - BILSTRUP, Urban - SVENSSON, Bertil. A Brain Emotional Learning-based Prediction Model for the Prediction of Geomagnetic Storms. In FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2014. ISSN 2300-5963, 2014, vol. 2, no., pp. 35-42. PARSAPOOR, Mahboobeh - PARSAPOOR, Mahboobeh - BILSTRUP, Urban - SVENSSON, Bertil. Neuro-fuzzy models for geomagnetic storms prediction. In 2014 10th International Conference on Natural Computation, ICNC 2014, 2014, p. 12-17. LAZZUS, J. A. - VEGA, P. - ROJAS, P. - SALFATE, I. Forecasting the Dst index using a swarm-optimized neural network. In SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS. ISSN 1542-7390, 2017, vol. 15, no. 8, p. 1068-1089. BOROVSKY, Joseph E. - ALEJANDRO VALDIVIA, Juan. The Earth's Magnetosphere: A Systems Science Overview and Assessment. In SURVEYS IN GEOPHYSICS. ISSN 0169-3298, 2018, vol. 39, no. 5, p. 817-859. BOROVSKY, Joseph E. - DENTON, Michael H. Exploration of a Composite Index to Describe Magnetospheric Activity: Reduction of the Magnetospheric State Vector to a Single Scalar. In JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS. ISSN 2169-9380, 2018, vol. 123, no. 9, p. 7384-7412. JAWAD, Muhammad - RAFIQUE, Abubakar - KHOSA, Ikramullah - GHOUS, Imran - AKHTAR, Jahanzeb - ALI, Sahibzada Muhammad. Improving Disturbance Storm Time Index Prediction Using Linear and Nonlinear Parametric Models: A Comprehensive Analysis. In IEEE TRANSACTIONS ON PLASMA SCIENCE. ISSN 0093-3813, 2019, vol. 47, no. 2, p. 1429-1444. CAMPOREALE, E. The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting. In SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2019, vol. 17, no. 8, pp. 1166-1207. Dostupné na: https://doi.org/10.1029/2018SW002061. LAZZUS, J. A. - VEGA-JORQUERA, P. - PALMA-CHILLA, L. - STEPANOVA, M. - ROMANOVA, N. Dst Index Forecast Based on Ground-Level Data Aided by Bio-Inspired Algorithms. In SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2019, vol. 17, no. 10, p. 1487-1506. RAUBITZEK, S. - NEUBAUER, T. Machine Learning and Chaos Theory in Agriculture. In ERCIM NEWS. ISSN 0926-4981, JUL 2020, no. 122, SI, p. 44-45. RAUBITZEK, Sebastian - NEUBAUER, Thomas. A fractal interpolation approach to improve neural network predictions for difficult time series data. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, 2021, vol. 169, no., pp. Dostupné na: https://doi.org/10.1016/j.eswa.2020.114474. RAUBITZEK, Sebastian - NEUBAUER, Thomas. Taming the Chaos in Neural Network Time Series Predictions. In ENTROPY, 2021, vol. 23, no. 11, pp. Dostupné na: https://doi.org/10.3390/e23111424. RAUBITZEK, Sebastian - NEUBAUER, Thomas. Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review. In ENTROPY, 2021, vol. 23, no. 12, pp. Dostupné na: https://doi.org/10.3390/e23121672. Category ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2002 Registered in WOS Registered in SCOPUS Registered in CCC 
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