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    Wyświetlanie 1-10 z 10
    Tytuł:
    Model and Implementation of System Evolving Algorithm with Distributed Beginning Population
    Autorzy:
    Tchórzewski, J.
    Ruciński, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/92846.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    artificial intelligence methods
    evolving algorithm
    electric power market
    control theory
    Opis:
    This paper shows some results of using artificial intelligence methods for searching the new state of development system of electro energetic transmission network. In particular, is using evolving algorithm. Some experiments are prepared in MATLAB and Simulink environment.
    Źródło:
    Studia Informatica : systems and information technology; 2006, 1(7); 133-146
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural modeling of the electric power stock market in usage of MATLAB and Simulink tools for the day ahead market data
    Autorzy:
    Ruciński, D.
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/94831.pdf
    Data publikacji:
    2016
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    neuronal modelling
    MATLAB
    Simulink environment
    simulation research
    artificial neural network
    Opis:
    The work contains selected results of the modelling of neural Electric Power Exchange (EPE) in Poland. For modelling EPE system, artificial neural network (ANN) was constructed. ANN was learned and tested using of the next day market data. Generated neural model was used for simulation tests and susceptibility tests. Suitable model was implemented in Simulink. As a result of simulation tests and susceptibility testing a lot of interesting research results were obtained.
    Źródło:
    Information Systems in Management; 2016, 5, 2; 215-226
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Self-Organizing Wireless Ad-Hock Sensor Networks
    Autorzy:
    Ruciński, D.
    Kłopotek, M.
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/92832.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    smart dust
    self-organizing network
    distributed artificial intelligence
    tiny operating system
    Opis:
    The main target of this article is to review the main items connected with Smart Dust and their resolving proposals by research workers. In chapter 1 contains hardware description, chapter 2 contains software description divided Into positioning problems, routing, description of TinyOS, tools used for building working environment and security, chapter 3 contains conclusions and proposals for future development.
    Źródło:
    Studia Informatica : systems and information technology; 2005, 1(5); 69-80
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evolutionary algorithm inspired by the methods of quantum computer sciences for the improvement of a neural model of the electric power exchange
    Autorzy:
    Tchórzewski, J.
    Ruciński, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/94729.pdf
    Data publikacji:
    2017
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    Artificial Neural Network
    Matlab language
    modelling
    quantum computation
    Polish Power Exchange
    day ahead market
    Opis:
    The work contains results of research on the possibility to improve the neural model of the Electric Power Exchange (polish: Towarowa Giełda Energii Elektrycznej – TGEE) in MATLAB and Simulink environment using evolutionary algorithm inspired by quantum computer science. The developed artificial neural network was trained using data for the Day Ahead Market, assuming the joint volume of supplied and sold electrical energy [MWh] as the input quantities in each hour of the 24-hour day, and average prices [PLN/MWh] as output quantities. The obtained model of the exchange system was improved using the evolutionary algorithm, and further improvement in the accuracy of the model by supplementing the evolutionary algorithm using quantum solutions, related to the initial population, crossover and mutation operators, selection, etc. were proposed.
    Źródło:
    Information Systems in Management; 2017, 6, 4; 343-355
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Capabilities of MATLAB and Simulink related to modelling of Polish power exchange
    Autorzy:
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/94981.pdf
    Data publikacji:
    2016
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    artificial neural network
    identification
    MATLAB
    Simulink
    environment
    Polish Power Exchange
    simulation
    Day Ahead Market
    Opis:
    The paper presents selected results of research on modelling a system of the POLISH Power Exchange in the MATLAB and Simulink environment. Modelling capabilities of various toolboxes and Matlab language were presented. Special attention was paid to identification modelling using System Identification Toolbox, neural modelling using Neural Network Toolbox and simulation modelling using Simulink. Research experiments were preformed based on the Day Ahead Market quotations. The obtained models of th type in SIT, an artificial neural network (ANN) in NNT and a block diagram in Simulink were subjected to comparative and sensitivity tests. Final results were interpreted.
    Źródło:
    Information Systems in Management; 2016, 5, 3; 424-435
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Systemic Evolutionary Algorithm inspired by the methods of quantum computing to improve the accuracy of the model on the neuronal motion the end of the robot arm PR–02
    Autorzy:
    Wołynka, Ł.
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/97323.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    Evolution algorithms
    Quantum computing
    Modeling systems
    Robot PR–02
    Artificial Neural Networks
    Environment MATLAB and Simulink
    Opis:
    The article contains selected results of research on the design Systemic Evolutionary Algorithm inspired by quantum informatics methods and description how to implement it in Matlab language in order to use for improve parameters neural model on example robot robot PR–02 arm motion. Initial population was based on weights matrix of artificial neural network. Randomly selected population of individual chromosomes in both the initial and in the following parent population have been converted to binary values, and these to quantum values by using created for this purpose quatization() function. Quantum gene value was determined on the basis of stonger pure state represented by different chromosomes, to which dequantization() function was used. Selection of individuals was conducted based on the model of neural robot PR–02 motion implemented in Matlab language using calculationsNeuralNetworks() function.
    Źródło:
    Computer Applications in Electrical Engineering; 2016, 14; 297-312
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design and research on artificial neural networks as electrical power system development models based on IEEE RTS data
    Autorzy:
    Tchórzewski, J.
    Pytel, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/97683.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    artificial neural network
    IEEE RTS data
    electrical power system
    MATLAB and Simulink environment
    testing sensitivity
    simulation studies
    Opis:
    The paper presents selected results of research on the design of artificial neural networks and training them using the electrical power system development model (EPS or EP system) based on IEEE RTS 96 test data, i.a. creation of training and test files, development of architecture of the artificial neural network, selection of parameters of the network, selection of appropriate training and testing method, etc. As a result of the development and training an ANN, the following EP system development models were obtained, which were examined for sensitivity to changes of the number of hidden layers, number of neurons in a layer, activation function, training method, etc. Subsequently, simulation models for studying fitness of the obtained models to the real systems. Interesting results were obtained, e.g. the method of the neural modelling of the system, the optimal architecture of the ANN that is a model of the system, possibilities and directions to improve a neural model of the system, etc.
    Źródło:
    Computer Applications in Electrical Engineering; 2015, 13; 231-244
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Quantum-inspired artificil neural networks and evolutionary algorithms methods applied to modeling of the polish electric power exchange using the day-ahead market data
    Autorzy:
    Tchórzewski, J.
    Ruciński, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/94957.pdf
    Data publikacji:
    2018
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    artificial intelligence methods
    MATLAB and Simulink environment
    modeling of business intelligence process
    quantum inspired method
    smart electric power system
    electric power exchange system
    Opis:
    The paper presents selected results of research on the use of artificial intelligence methods, which are inspired by quantum computing solutions for modelling of electric power exchange systems. Methods used in the modelling of quantum data acquisition, quantization and dequantization of information as well as the methods of performing quantum computations were emphasized. Furthermore, we have analysed the results obtained for the neural model and for the evolutionary algorithm inspired by the quantum computer science. Eventually, the model was verified on the example of the neural model of the Electric Power Exchange (EPE).
    Źródło:
    Information Systems in Management; 2018, 7, 3; 201-212
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Systemic Evolutionary Algorithm inspired by methods of Quantum computer sciences for the improvement of the accuracy of neural models in electrical engineering and electrical power engineering
    Autorzy:
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/97692.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    Evolutionary Algorithms
    Quantum computer science
    Quantum mixed number
    Systems modelling
    Robot PR–02
    Artificial Neural Networks
    MATLAB and Simulink environment
    Electric Power Exchange
    Opis:
    The work contains selected results of research on the application of quantum computer science to a systemic evolutionary algorithm for the purpose of improving accuracy of neural models in electrical engineering and electrical power engineering. Artificial neural networks are used in neural modeling, which networks are designed and taught models of systems using available numerical data. Parameters of neural networks, and especially, elements of weight matrices, biases as well as parameters of activation functions may be improved using evolutionary algorithms. It seems that applying solutions offered by quantum computer science to systemic evolutionary algorithm, and especially, as regards creation of quantum initial population, quantum crossover and mutation operators as well as selection, considerably improves the accuracy of modelling, which was verified in MATLAB and Simulink environment using selected examples such as RP–02 robot’s arm movement, the development of the Polish Electrical Power Exchange (polish: TGEE) system, etc.
    Źródło:
    Computer Applications in Electrical Engineering; 2016, 14; 280-296
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial neural networks as models neuronal electronic state offices
    Autorzy:
    Tchórzewski, J.
    Leszko, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/95129.pdf
    Data publikacji:
    2015
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    e-document
    office
    repository
    artificial neural networks
    neural modelling
    MATLAB and Simulink
    e-dokument
    sztuczne sieci neuronowe
    Matlab
    Simulink
    modelowanie neuronowe
    urząd administracji publicznej
    Opis:
    The paper presents selected results of research on learning design and artificial neural network (ANN) models paperless office as a state defined as a document repository. A review of selected issues on artificial neural network, and environments to support their generation and learning. In particular, attention was drawn to the new modeling capabilities leading to obtaining neural models of electronic systems. Artificial neural network is designed and taught her electronic office model based on the size of the input 11 and 9 variables, par 72 trainees on the actual size of government agencies for the year 2007. The model was obtained in MATLAB and Simulink and using the Neural Network Toolbox. Showing the possibilities of using the model to test sensitivities and simulation in Simulink.
    Źródło:
    Information Systems in Management; 2015, 4, 3; 219-227
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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