Forecasting Heat Production for a Large District Heating Network with NARX Neural Networks / aut. Szabolcs Kováč, Peter Střelec, Tibor Horák, German Michaľčonok, Pavel Važan
Kováč Szabolcs ; 066000  Střelec Peter ; 066000 Horák Tibor ; 066000 Michaľčonok German ; 066000 Važan Pavel ; 066000
Artificial Intelligence Trends in Systems : . S. 131-139
NARX district heating prediction data analysis heat production planning
https://link.springer.com/chapter/10.1007/978-3-031-09076-9_12
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Heat load forecasting: comparison between neuro-fuzzy and neural network approaches a real world case study / aut. Szabolcs Kováč, Igor Halenár, German Michaľčonok, Andrea Némethová
Kováč Szabolcs ; 066000  Halenár Igor ; 066000 Michaľčonok German ; 066000 Némethová Andrea ; 066000
Artificial Intelligence in Intelligent Systems : . S. 507-517
neural network neuro-fuzzy forecasting district heating ANFIS
https://link.springer.com/chapter/10.1007/978-3-030-77445-5_47
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Comparison of Heat Demand Prediction Using Wavelet Analysis and Neural Network for a District Heating Network
Kováč Szabolcs ; 066000  Michaľčonok German ; 066000 Halenár Igor ; 066000 Važan Pavel ; 066000
Energies . Vol. 14, iss. 6 (2021), s. 1-21
artificial neural networks data analysis signal decomposition district heating forecasting
https://www.mdpi.com/1996-1073/14/6/1545
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ADC - Scientific titles in foreign carented magazines and noticed year-books
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The comparison of machine-learning methods XGBoost and LightGBM to predict energy development / aut. Martin Németh, Dmitrii Borkin, German Michaľčonok
Németh Martin ; 066000  Borkin Dmitrii ; 066000 Michaľčonok German ; 066000
Computational Statistics and Mathematical Modeling Methods in Intelligent Systems : . S. 208-215
XGBoost LightGBM energy prediction machine learning
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Computing importance value of medical data parameters in classification tasks and its evaluation using machine learning methods / aut. Andrea Peterková, Martin Németh, German Michaľčonok, Allan Böhm
Peterková Andrea ; 066000  Németh Martin ; 066000 Michaľčonok German ; 066000 Böhm Allan
Software Engineering and Algorithms in Intelligent Systems : . S. 397-405
data analysis classification catchment predictors
https://www.scopus.com/record/display.uri?eid=2-s2.0-85047922942&origin=resultslist&sort=plf-f&src=s&st1=Computing+importance+value+of+medical+data+parameters+in+classification+tasks+and+its+evaluation+using+machine+learning+methods&st2=&sid=0e61bcedd5d9a8535f62999bc847168d&sot=b&sdt=b&sl=132&s=ALL%28Computing+importance+value+of+medical+data+parameters+in+classification+tasks+and+its+evaluation+using+machine+learning+methods%29&relpos=0&citeCnt=0&searchTerm=
https://link.springer.com/chapter/10.1007/978-3-319-91186-1_41
článok zo zborníka
AFC - Reports at international scientific conferences
V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka