Neural network identification of a nonlinear model of a high-pressure sodium lamp
The article is devoted to the identification of a high-pressure sodium lamp nonlinear model parameters based on neural network technologies. Identification was carried out using a dynamic neural network. The model had 17 parameters based on second order differential equations. As a result, out of 17...
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EDP Sciences
2020-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2020/25/matecconf_icmtmte2020_03034.pdf |
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doaj-ebd7b303d4814c86b96e63f6464fc3832021-08-05T13:52:58ZengEDP SciencesMATEC Web of Conferences2261-236X2020-01-013290303410.1051/matecconf/202032903034matecconf_icmtmte2020_03034Neural network identification of a nonlinear model of a high-pressure sodium lampSemenov Anatolij D.0Volkov Anton V.1Shumkina Alena Yu.2Department of Information Measuring Equipment and Metrology, Penza State UniversityDepartment of Information Security and Service, National Research Mordovia State UniversityDepartment of Information Security and Service, National Research Mordovia State UniversityThe article is devoted to the identification of a high-pressure sodium lamp nonlinear model parameters based on neural network technologies. Identification was carried out using a dynamic neural network. The model had 17 parameters based on second order differential equations. As a result, out of 17 parameters, four were selected that accurately reflect the real picture of the model.https://www.matec-conferences.org/articles/matecconf/pdf/2020/25/matecconf_icmtmte2020_03034.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Semenov Anatolij D. Volkov Anton V. Shumkina Alena Yu. |
| spellingShingle |
Semenov Anatolij D. Volkov Anton V. Shumkina Alena Yu. Neural network identification of a nonlinear model of a high-pressure sodium lamp MATEC Web of Conferences |
| author_facet |
Semenov Anatolij D. Volkov Anton V. Shumkina Alena Yu. |
| author_sort |
Semenov Anatolij D. |
| title |
Neural network identification of a nonlinear model of a high-pressure sodium lamp |
| title_short |
Neural network identification of a nonlinear model of a high-pressure sodium lamp |
| title_full |
Neural network identification of a nonlinear model of a high-pressure sodium lamp |
| title_fullStr |
Neural network identification of a nonlinear model of a high-pressure sodium lamp |
| title_full_unstemmed |
Neural network identification of a nonlinear model of a high-pressure sodium lamp |
| title_sort |
neural network identification of a nonlinear model of a high-pressure sodium lamp |
| publisher |
EDP Sciences |
| series |
MATEC Web of Conferences |
| issn |
2261-236X |
| publishDate |
2020-01-01 |
| description |
The article is devoted to the identification of a high-pressure sodium lamp nonlinear model parameters based on neural network technologies. Identification was carried out using a dynamic neural network. The model had 17 parameters based on second order differential equations. As a result, out of 17 parameters, four were selected that accurately reflect the real picture of the model. |
| url |
https://www.matec-conferences.org/articles/matecconf/pdf/2020/25/matecconf_icmtmte2020_03034.pdf |
| work_keys_str_mv |
AT semenovanatolijd neuralnetworkidentificationofanonlinearmodelofahighpressuresodiumlamp AT volkovantonv neuralnetworkidentificationofanonlinearmodelofahighpressuresodiumlamp AT shumkinaalenayu neuralnetworkidentificationofanonlinearmodelofahighpressuresodiumlamp |
| _version_ |
1721220429322911744 |