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Jaroslaw J. Napiorkowski
Jaroslaw J. Napiorkowski
Institute of Geophysics, Polish Academy of Sciences
Bestätigte E-Mail-Adresse bei igf.edu.pl
Titel
Zitiert von
Zitiert von
Jahr
A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling
AP Piotrowski, JJ Napiorkowski
Journal of Hydrology 476, 97-111, 2013
2752013
Population size in particle swarm optimization
AP Piotrowski, JJ Napiorkowski, AE Piotrowska
Swarm and Evolutionary Computation 58, 100718, 2020
2522020
Optimizing neural networks for river flow forecasting–Evolutionary Computation methods versus the Levenberg–Marquardt approach
AP Piotrowski, JJ Napiorkowski
Journal of hydrology 407 (1-4), 12-27, 2011
1382011
Hydrodynamic derivation of storage parameters of the Muskingum model
JCI Dooge, WG Strupczwski, JJ Napiorkowski
Journal of Hydrology 54, 371-387, 1982
1331982
Comparing various artificial neural network types for water temperature prediction in rivers
AP Piotrowski, MJ Napiorkowski, JJ Napiorkowski, M Osuch
Journal of Hydrology 529, 302-315, 2015
1222015
Swarm intelligence and evolutionary algorithms: Performance versus speed
AP Piotrowski, MJ Napiorkowski, JJ Napiorkowski, PM Rowinski
Information Sciences 384, 34-85, 2017
1092017
How novel is the “novel” black hole optimization approach?
AP Piotrowski, JJ Napiorkowski, PM Rowinski
Information Sciences 267, 191-200, 2014
932014
Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling
AP Piotrowski, JJ Napiorkowski, AE Piotrowska
Earth-Science Reviews 201, 103076, 2020
772020
Step-by-step improvement of JADE and SHADE-based algorithms: Success or failure?
AP Piotrowski, JJ Napiorkowski
Swarm and evolutionary computation 43, 88-108, 2018
742018
The Baltic Sea Experiment (BALTEX): A European contribution to the investigation of the energy and water cycle over a large drainage basin
E Raschke, J Meywerk, K Warrach, U Andrea, S Bergstram, F Beyrich, ...
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 82 (11), 2389-2413, 2001
692001
Some metaheuristics should be simplified
AP Piotrowski, JJ Napiorkowski
Information Sciences 427, 32-62, 2018
662018
Differential evolution algorithm with separated groups for multi-dimensional optimization problems
AP Piotrowski, JJ Napiorkowski, A Kiczko
European Journal of Operational Research 216 (1), 33-46, 2012
63*2012
The linear downstream response of a generalized uniform channel
JCI Dooge, JJ Napiórkowski, WG Strupczewski
Acta Geophysica Polonica 35 (3), 277-291, 1988
601988
Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river
AP Piotrowski, M Osuch, MJ Napiorkowski, PM Rowinski, JJ Napiorkowski
Computers & Geosciences 64, 136-151, 2014
582014
Climate change impact on hydrological extremes: preliminary results from the Polish-Norwegian Project
RJ Romanowicz, E Bogdanowicz, SE Debele, J Doroszkiewicz, H Hisdal, ...
Acta Geophysica 64, 477-509, 2016
562016
Flash-flood forecasting by means of neural networks and nearest neighbour approach–a comparative study
A Piotrowski, JJ Napiorkowski, PM Rowiński
Nonlinear Processes in Geophysics 13 (4), 443-448, 2006
492006
Are artificial neural network techniques relevant for the estimation of longitudinal dispersion coefficient in rivers?/Les techniques de réseaux de neurones artificiels sont …
PM Rowiński, A Piotrowski, JJ Napiórkowski
Hydrological Sciences Journal–Journal des Sciences Hydrologiques 50 (1), 2005
472005
On backwater effects in linear diffusion flood routing
JCI Dooge, ZW Kundzewicz, JJ Napiórkowski
Hydrological Sciences Journal 28 (3), 391-402, 1983
471983
The effect of the downstream boundary conditions in the linearized St Venant equations
JCI DOOGE, JJ NAPIORKOWSKI
The Quarterly Journal of Mechanics and Applied Mathematics 40 (2), 245-256, 1987
451987
Projected changes in flood indices in selected catchments in Poland in the 21st century
M Osuch, D Lawrence, HK Meresa, JJ Napiorkowski, RJ Romanowicz
Stochastic Environmental Research and Risk Assessment 31, 2435-2457, 2017
442017
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