Temat: radial distribution function - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Molecular dynamics simulation of an aqueous Na2SO4 solution
Autorzy:: Nieszporek, Krzysztof
Nieszporek, Jolanta
Powiązania:: https://bibliotekanauki.pl/articles/764099.pdf
Data publikacji:: 2017
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:: hydrogen bond
sulfate
water
solvation structure
tip3p
radial distribution function
hydration shell
Opis:: The structure of sodium sulfate in tip3p water solution with the concentration of 0.1191 mol/dm3 was studied by means of classical molecular dynamics. Both ions have clear hydration shells. The comparison between radial distribution functions and cumulative numbers of selected atoms around the reference one makes it possible to precisely describe the structure of investigated system. Applying such tools geometrical parameters of the hydrogen bond of the dimer SO42-/H2O have been obtained.
Źródło:: Annales Universitatis Mariae Curie-Skłodowska, sectio AA – Chemia; 2017, 72, 2
2083-358X
Pojawia się w:: Annales Universitatis Mariae Curie-Skłodowska, sectio AA – Chemia
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Comparison of MLP and RBF Neural Networks in the Task of Classifying the Diameters of Water Pipes
Autorzy:: Gvishiani, Zurab
Dawidowicz, Jacek
Powiązania:: https://bibliotekanauki.pl/articles/2174907.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: water distribution system
hydraulic calculation
selection of diameter
water pipe
artificial neural network
radial basis function
multilayer perceptron
Opis:: Hydraulic calculations of water distribution systems are currently performed using computer programs. In addition to the basic calculation procedure, modules responsible for evaluating the obtained calculation results are introduced more and more often into the programs. This article presents the results of research on artificial neural networks with a radial base function (RBF) and a multilayer perceptron (MLP), aimed at determining whether they can be used to model the relationship between the variables describing the computational section of the water distribution system and the diameter of the water pipe. The classification capabilities of the RBF and MLP networks were analyzed according to the number of neurons in the hidden layer of the network. A comparative analysis of RBF networks with multilayer perceptron (MLP) networks was performed. The results showed that the MLP networks have much better classification properties and are better suited for the task of assessing the selected diameters of the water pipes.
Źródło:: Rocznik Ochrona Środowiska; 2022, 24; 505--519
1506-218X
Pojawia się w:: Rocznik Ochrona Środowiska
Dostawca treści:: Biblioteka Nauki

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