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Wyszukujesz frazę "neural modelling" wg kryterium: Temat


Wyświetlanie 1-4 z 4
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
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:
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:
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
    Wyświetlanie 1-4 z 4

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