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License Agreement on scientific materials use.
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MULTILAYER PERCEPTRON IN GAMES PROGRAMMING
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Tat'yana Sergeevna Mardvilko
Belarusian State University of Informatics and Radioelectronics, Minsk
Vadim Vladimirovich Sharai
Belarusian State University of Informatics and Radioelectronics, Minsk
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Submitted:
September 1, 2015
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Abstract.
The paper examines the problem of forecasting with the use of neural nets on the basis of the game “Ping-pong”. Various configurations of neural nets and heuristics influencing learning speed and the error of the net are studied. For the visualization of the process of learning a special utility is created allowing the researcher to build various configurations of neural nets and watch the change of the net at separate stages of learning. The project is written in the Python language with the use of the library PyBrain.
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Key words and phrases:
нейрон
нейронные сети
метод обратного распространения ошибки
многослойный персептрон
язык программирования Python
Ping-pong
neuron
neural nets
method of reversal spread of error
multilayer perceptron
programming language Python
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References:
- Лутц М. Программирование на Python: в 2-х т. СПб.: Символ-Плюс, 2011. Т. 2. 992 с.
- Портал искусственного интеллекта [Электронный ресурс]. URL: http://www.aiportal.ru (дата обращения: 20.03.2015).
- Welcome to PyBrain’s Documentation! [Электронный ресурс]. URL: http://www.pybrain.org/docs (дата обращения: 08.02.2015).
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