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    Wyświetlanie 1-13 z 13
    Tytuł:
    Cluster analysis on the example of work data of the National Power System. Part 2, Research and selected results
    Autorzy:
    Tchórzewski, Jerzy
    Kania, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2052268.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    cluster analysis
    National Power System
    MATLAB
    Simulink
    Ward's algorithm
    self-organizing two-dimensional maps
    Opis:
    The work is a continuation of the article under the same main title and subtitle Part 1. Comparative study of methods and conditions. This article concerns the cluster analysis, which was carried out on the example of data concerning the operation of the National Power System, namely the total generations of nCDGUs and CDGUs listed by PSE Operator. Two algorithms were used to obtain the results of the cluster analysis, i.e. the Ward algorithm and the algorithm of self-organizing twodimensional topographic maps. The obtained results were interpreted and their discussion and interpretation were conducted.
    Źródło:
    Studia Informatica : systems and information technology; 2020, 1-2(24); 5-23
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model symulacyjny systemu Towarowej Giełdy Energii Elektrycznej z wykorzystaniem wspomaganej ewolucyjnie oraz inspirowanej kwantowo Sztucznej Sieci Neuronowej
    Simulation model of the Polish Power Exchange System using evolutionally assisted and quantum-inspired Artificial Neural Network
    Autorzy:
    Tchórzewski, Jerzy
    Ruciński, Dariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/376414.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    badania komparatystyczne
    badania symulacyjne
    obliczenia kwantowe
    sztuczne sieci neuronowe
    towarowa giełda energii elektrycznej
    Opis:
    Utworzono wspomaganą ewolucyjnie oraz inspirowaną kwantowo Sztuczną Sieć Neuronową, którą zaimplementowano w Simulinku na bazie danych Rynku Dnia Następnego Towarowej Giełdy Energii Elektrycznej. Dane wejściowe, wagi i biasy poddano kwantyzacji. Kwantowe obliczenia quasi-równoległe przeprowadzono na bazie 100 wygenerowanych kwantowych liczb mieszanych za pomocą metody kwantyzacji na bazie stanów czystych |0> i |1>, a uzyskane w wyniku obliczeń kwantowe liczby mieszane poddano dekwantyzacji za pomocą Sztucznej Sieci Neuronowej (SSN). Model symulacyjny składający się ze wspomaganej ewolucyjnie oraz kwantowo inspirowanej Sztucznej Sieci Neuronowej, oprócz badań symulacyjnych, umożliwia przeprowadzanie badań komparatystycznych uzyskiwanych sygnałów z danymi rzeczywistymi oraz z danymi wyjściowymi z perceptronowej Sztucznej Sieci Neuronowej. Wyniki badań wskazują na wysoką dokładność przeprowadzanego eksperymentu.
    An evolutionary-assisted and quantum-inspired Artificial Neural Network was created, which was implemented in Simulink on the Day-Ahead Market of the Polish Power Exchange. Input data, weights and bias were quantized. Quantum quasi-parallel calculations were carried out on the basis of 100 generated quantum mixed numbers using the quantization method based on pure states |0> and |1>, and the resulting quantum mixed numbers were dequantized using another Artificial Neural Network. The implemented simulation model consists of evolutionarily assisted and quantum-inspired Artificial Neural Network, which in addition to simulation studies allows conducting comparative studies of obtained signals with real data and with output data from the perceptron Artificial Neural Network. The test results indicate the high accuracy of the experiment.
    Źródło:
    Poznan University of Technology Academic Journals. Electrical Engineering; 2020, 104; 55-64
    1897-0737
    Pojawia się w:
    Poznan University of Technology Academic Journals. Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural model of the vehicle control system in a racing game. Part 2, Research experiments
    Autorzy:
    Bolesta, Arkadiusz
    Tchórzewski, Jerzy
    Powiązania:
    https://bibliotekanauki.pl/articles/2175161.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    Godot Engine
    MATLAB
    Simulink environment
    Neural control system
    Perceptron Artificial Neural Networks
    video games
    Opis:
    This article, which is a continuation of the article under the same main title and subtitle: part 1 Design and its implementation, includes the obtained results of research experiments with the use of a designed and implemented racing game. It uses a neural model of the vehicle motion control system on the racetrack in the form of a Perceptron Artificial Neural Network (ANN). In designing the movement of vehicles on the racetrack, the following were used, inter alia, Godot Engine and MATLAB and Simulink programming environment. The numerical data (14 input quantities and two output quantities) for ANN training were prepared with the use of semi-automatic measurement of the race track control points. This article shows, among others, the results of 10 selected research experiments, testing and simulation, confirming the correct functioning of both the computer game and the model of the neural control system. As a result of simulation tests, it turned out that the longest lap of the track in the conducted experiments lasted 4 minutes and 55 seconds, and the shortest - 10.47 seconds. In five minutes, the highest number of laps was 34, while the lowest numbers of laps were 1 and 5. In the course of the experiments it was noticed that under the same conditions the ANN learning outcomes are sometimes different.
    Źródło:
    Studia Informatica : systems and information technology; 2022, 1(26); 45--60
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Quantum-inspired method of neural modeling of the day-ahead market of the Polish electricity exchange
    Autorzy:
    Tchórzewski, Jerzy
    Ruciński, Dariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2183468.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    artificial neural networks
    day-ahead market
    dequantization with ANN
    neural modeling
    quantum inspired method
    quantum computing
    Polish Electricity Exchange
    system quantization
    Opis:
    The paper presents selected elements of a modelling methodology involving quantization, quantum calculations and dequantization on the example of the neural model of the Day-Ahead Market of the Polish Electricity Exchange. Based on the fundamental assumptions of quantum computing, a new method has been proposed here of converting the real numbers in decimal notation into quantum mixed numbers using the probability modules of quantum mixed number and the principle of superposition, along with a new method of quantum calculations using linear algebra and vectormatrix calculus, and the Artificial Neural Network was taught accordingly. Dequantization of quantum mixed numbers to real numbers in decimal notation using the new method of dequantization has been proposed as well. The operation of the methods introduced was shown on numerical examples.
    Źródło:
    Control and Cybernetics; 2021, 50, 3; 383--399
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Algorytm Ewolucyjny inspirowany informatyką kwantową do poprawy parametrów modelu neuralnego wyznaczania cen na Towarowej Giełdzie Energii Elektrycznej notowanych na RDN
    Evolutionary Algorithm inspired by quantum information technology to improve the parametrers of the neural piice setting model on the Polish Power Exchange traded on the DAM
    Autorzy:
    Tchórzewski, Jerzy
    Ruciński, Dariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/377068.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    Algorytm Ewolucyjny
    dekwantyzacja
    kwantowa liczba mieszana
    kwantyzacja
    obliczenia kwantowe
    Rynek Dnia Następnego
    Sztuczna Sieć Neuronowa
    Towarowa Giełda Energii Elektrycznej
    Opis:
    Artykuł zawiera wybrane wyniki badań dotyczące istoty i implementacji Algorytmu Ewolucyjnego inspirowanego obliczeniami kwantowymi do poprawy parametrów modelu neuralnego wyznaczającego ceny na Towarowej Giełdzie Energii Elektrycznej. Do uczenia Sztucznej Sieci Neuronowej modelu systemu wykorzystano dane liczbowe notowane na Rynku Dnia Następnego w okresie od 01 stycznia 2015 r. do 30 czerwca 2015 r. Szczególną uwagę zwrócono na sposób systemowego tworzenie Populacji Początkowej oraz na sposób systemowego tworzenie funkcji krzepkości (funkcji przystosowania), a na tej bazie na metodę kwantyzacji, dekwantyzacji i obliczeń kwantowych przeprowadzonych z wykorzystaniem pojęcia kwantowej liczby mieszanej i rachunku wektorowo-macierzowego. Uzyskano znaczącą poprawę modelu neuralnego wspomaganego algorytmem ewolucyjnym inspirowanym kwantowo w stosunku do modelu neuralnego wspomaganego algorytmem ewolucyjnym bez inspiracji kwantowej.
    The paper contains selected research results on the nature and implementation of the Evolutionary Algorithm inspired by quantum computation to improve the parameters of the neural model determining prices at the Polish Power Exchange. To learn the Artificial Neural Network system model, the figures quoted on the Commodity Electricity Market of the Day-Ahead Market were used in the period from January 1, 2018 to June 30, 2018. Particular attention was paid to the systemic creation of the Initial Population and the systemic creation of the function of solidification (function adaptation), and on this basis, the quantization, dequantization and quantum computation methods carried out using the quantum concept of a mixed number. Significant improvement of the neural model supported by quantum-inspired evolutionary algorithm in relation to the model without quantum inspiration was obtained.
    Źródło:
    Poznan University of Technology Academic Journals. Electrical Engineering; 2019, 100; 121-132
    1897-0737
    Pojawia się w:
    Poznan University of Technology Academic Journals. Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cluster analysis on the example of work data of the National Power System. Part 1, Comparative study of methods and conditions
    Autorzy:
    Tchórzewski, Jerzy
    Kania, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/1819255.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    cluster analysis
    National Electric Power System
    MATLAB and simulink environment
    ward's algorithm
    self-organizing maps
    Opis:
    The paper presents the results of the research on the comparative study of the methods of cluster analysis and conditions, which was carried out from the point of view of their use, on the example of data concerning the operation of the National Power System. Two algorithms were used for the clustering analysis, i.e. the Ward algorithm and the algorithm of self-organizing two-dimensional maps. Cluster analysis was preceded by a review of hierarchical and non-hierarchical methods of data analysis and a description of the prepared experiment. The obtained results were interpreted. The work consists of two parts published under the same main title with different subtitles. This part 1 presents the results of the conducted review of selected methods of cluster analysis and the research conditions resulting from the adopted data on the operation of the National Power System. Part 2 presents the cluster analysis process and selected research results and their discussion.
    Źródło:
    Studia Informatica : systems and information technology; 2019, 1-2(23); 25--41
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural model of human gait and its implementation in MATLAB and Simulink Environment using Deep Learning Toolbox
    Autorzy:
    Tchórzewski, Jerzy
    Wielgo, Arkadiusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2052427.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    artificial neural network
    deep learning toolbox
    humanoid robots
    MATLAB environment
    Simulink environment
    modeling of human walking motion
    Opis:
    The article presents selected results of research on the modeling of humanoid robots, including the results of neural modeling of human gait and its implementation in the environment MATLAB and Simulink with the use of Deep Learning Toolbox. The subject of the research was placed within the scope of the available literature on the subject. Then, appropriate research experiments on human movement along a given trajectory were developed. First, the method of measuring the parameters present in the experiment was established, i.e. input quantities (displacement of the left heel, displacement of the right heel) and output quantities (displacement of the measurement point of the human body in space). Then, research experiments were carried out, as a result of which numerical data were measured in order to use them for teaching and testing the Artificial Neural Network. The Perceptron Artificial Neural Network architecture was used to build a model of a neural human walk along a given trajectory. The obtained results were discussed and interpreted, drawing a number of important conclusions.
    Źródło:
    Studia Informatica : systems and information technology; 2021, 1-2(25); 39-65
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cluster analysis as a preliminary problem in neural modelling of the Polish Power Exchange
    Autorzy:
    Tchórzewski, Jerzy
    Jezierski, Jakub
    Powiązania:
    https://bibliotekanauki.pl/articles/94965.pdf
    Data publikacji:
    2019
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    artificial self-organizing neural networks
    business intelligence
    cluster analysis
    neural modelling
    Day Ahead Market
    Polish Power Exchange
    Opis:
    The work focuses on cluster analysis as a preliminary problem in neural model- ling based on the data quoted on the Day Ahead Market of the Polish Power Ex- change as a subsystem of the system of Towarowa Giełda Energii S.A. [Polish Pow- er Exchange]. The paper contains the results of literature research related to cluster analysis methods, description of possible applications of artificial neural networks SOM for mapping information on the volume of electrical power sold and prices ob- tained, description of possible applications of MATLAB and Simulink environment, and especially Neural Network Toolbox for mapping knowledge, and cluster analy- sis performed for selected data.
    Źródło:
    Information Systems in Management; 2019, 8, 1; 69-81
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural model of the vehicle control system in a racing game. Part 1, Design and its implementation
    Autorzy:
    Tchórzewski, Jerzy
    Bolesta, Arkadiusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2175160.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    Artificial Neural Networks
    Godot Engine
    MATLAB
    Simulink environment
    CLion IDE
    video games
    Opis:
    The publication consist of two parts. Part 1 contains the results of research on the design, learning and implementation of the Perceptron Artificial Neural Network as a model of neural control of car movement on the racetrack. This part 1 presents the results of studies, including review of the methods used in video racing games from the point of view of the selection of a method that can be used in the own research experiment, selection of the Artificial Neural Network architecture, its teaching method and parameters for the intended research experiment, selection of the data measurement method to be used in ANN training, as well as development design of a car game, its implementation and conducting simulation tests. In designing the game of vehicle traffic on the racetrack, among others, Godot Engine game engine and MATLAB and Simulink programming environment. The numerical data (14 input quantities and two output quantities) for ANN training were prepared with the use of semi-automatic measurement of the race track control points. Part 2 shows i.a. the results of the testing and simulation experiments that confirm the correct functioning of both the game and the model of the neural control system. There were also shown, among others, the possibility of continuing research in the field of increasing the flexibility of the racing game, in particular the flexibility of the vehicle traffic control system through the use of other artificial intelligence methods, such as ant algorithms or evolutionary algorithms.
    Źródło:
    Studia Informatica : systems and information technology; 2022, 1(26); 23--44
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of data quoted on the Day-Ahead Market of TGE S.A. using Statistics and Machine Learning Toolbox
    Autorzy:
    Tchórzewski, Jerzy
    Longota, Bartłomiej
    Powiązania:
    https://bibliotekanauki.pl/articles/2201615.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    artificial neural network
    cluster analysis
    Day-Ahead Market
    k-means method
    Matlab and Simulink environment
    Statistics and Machine Learning Toolbox
    Ward’s method
    Opis:
    The publication contains the results of research in the field of cluster analysis carried out using data quoted on the Day-Ahead Market of TGE S.A. Two methods were used in the analysis, one hierarchical known as the Ward’s method, and the other non-hierarchical - the k-means method. Many interesting research results have been obtained, which are illustrated, among others, in in the form of dendrograms, silhouette graphs and graphs in the form of clusters. Data on the volume and the volumeweighted average price of electricity were examined for various types of quotations: fixing 1, fixing 2 and continuous quotations. The research was carried out in the MATLAB and Simulink environments using a library called Machine and Statistics Learning Toolbox. Selected test results were interpreted.
    Źródło:
    Studia Informatica : systems and information technology; 2022, 2(27); 49--74
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hourly identification and simulation of the TGE S.A. Day-Ahead Market system
    Autorzy:
    Marlęga, Radosław
    Tchórzewski, Jerzy R.
    Powiązania:
    https://bibliotekanauki.pl/articles/31342745.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    equations of state
    control system
    Day-Ahead Market
    identification
    Polish Electricity Exchange
    simulation
    state space
    Opis:
    The paper presents selected research results concerning the identification and simulation of the TGE S.A. Day-Ahead Market (DAM) system of the day for electricity delivered and sold, listed for the following hours: 5:01-6:00, 11:01-12:00, 17:01-18:00 and 23:01-24:00 in 2019, which were obtained in the MATLAB and Simulink environment using the System Identification Toolbox. As a result of identification, four respective discrete parametric arx models were obtained, which were then subject to quality assessment. Then, a simulation model was built in the Simulink environment, which was used for simulation tests and for assessing the sensitivity of the model created using the data from 2019 as the basis and the data from 2020 for verification. The obtained results confirm the correctness of both the performed discrete parametric identification and the possibility of testing the quality of the model and its sensitivity with the use of the DAM system model in the MATLAB and Simulink environment.
    Źródło:
    Control and Cybernetics; 2022, 51, 4; 523-555
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of a web application supporting gym management in terms of control and systems theory
    Autorzy:
    Tchórzewski, Jerzy
    Nabiałek, Wojciech
    Księżopolski, Artur
    Powiązania:
    https://bibliotekanauki.pl/articles/27323576.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    gym management
    identity theory
    MATLAB
    Simulink environment
    modeling
    simulations
    web systems
    Opis:
    An analysis of the web application supporting the management of the gym was carried out, which was designed in terms of the theory of control and systems. The obtained results of measurements of input and output quantities of selected subsystems were used to carry out the identification, as a result of which models of web application subsystems were obtained. On the basis of the obtained subsystem models, appropriate models were then designed in Simulink for the purposes of simulation and comparative studies of the behavior of subsystem models in relation to real systems that are web applications, including an appropriate analysis of the web application system model was carried out under the name of the gym on its selected subsystems, including in particular the subsystem called Generating a diet. In addition, testing and simulation studies were carried out to check the correct functioning of the web application management system model and the introduction of appropriate changes to the model was proposed, and the obtained research results were discussed, indicating the high accuracy of the obtained web application models.
    Źródło:
    Studia Informatica : systems and information technology; 2023, 1(28); 47--68
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-13 z 13

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