https://oldena.lpnu.ua/handle/ntb/52170
Title: | Intelligent System for the Choice of Leisure |
Authors: | Kopot, Sofiya Ryshkovets, Yuriy Burmai, Eduard |
Affiliation: | Lviv Polytechnic National University |
Bibliographic description (Ukraine): | Kopot S. Intelligent System for the Choice of Leisure / Sofiya Kopot, Yuriy Ryshkovets, Eduard Burmai // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 303–304. — (Intelligent Systems). |
Bibliographic description (International): | Kopot S. Intelligent System for the Choice of Leisure / Sofiya Kopot, Yuriy Ryshkovets, Eduard Burmai // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 303–304. — (Intelligent Systems). |
Is part of: | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 |
Issue Date: | 23-Apr-2020 |
Publisher: | Видавництво Львівської політехніки Lviv Politechnic Publishing House |
Place of the edition/event: | Львів Lviv |
Temporal Coverage: | 23-24 April 2020, Lviv, Ukraine |
Number of pages: | 2 |
Page range: | 303-304 |
Start page: | 303 |
End page: | 304 |
URI: | https://ena.lpnu.ua/handle/ntb/52170 |
ISSN: | 2523-4013 |
Copyright owner: | © Національний університет “Львівська політехніка”, 2020 |
URL for reference material: | https://journals.sagepub.com/doi/abs/10.3141/2135-11 |
References (Ukraine): | 1. Location Choice Modeling for Shopping and Leisure Activities with MATSim: Combining Microsimulation and Time Geography. - Access mode: https://journals.sagepub.com/doi/abs/10.3141/2135-11 2. Lytvyn, V., Vysotska, V., Peleshchak, I., Rishnyak, I., Peleshchak, R.: Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model. In: International Journal of Intelligent Systems and Applications, 10, 8-17. (2018) 3. Lytvyn, V., Vysotska, V., Dosyn, D., Burov, Y.: Method for ontology content and structure optimization, provided by a weighted conceptual graph. In: Webology, 15(2), 66-85. (2018) 4. Lytvynenko, V., Wojcik, W., Fefelov, A., Lurie, I., Savina, N., Voronenko, M. et al.: Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting. In: Lecture Notes in Computational Intelligence and Decision Making, 1020, 513-531. (2020) 5. Lytvyn, V., Kowalska-Styczen, A., Peleshko, D., Rak, T., Voloshyn, V., Noennig, J. R., Vysotska, V., Nykolyshyn, L., Pryshchepa, H.: Aviation Aircraft Planning System Project Development. In: Advances in Intelligent Systems and Computing IV, Springer, Cham, 1080, 315-348. (2020) 6. Antonyuk, N., Medykovskyy, M., Chyrun, L., Dverii, M., Oborska, O., Krylyshyn, M., Vysotsky, A., Tsiura, N., Naum, O.: Online Tourism System Development for Searching and Planning Trips with User’s Requirements. In: Advances in Intelligent Systems a. |
References (International): | 1. Location Choice Modeling for Shopping and Leisure Activities with MATSim: Combining Microsimulation and Time Geography, Access mode: https://journals.sagepub.com/doi/abs/10.3141/2135-11 2. Lytvyn, V., Vysotska, V., Peleshchak, I., Rishnyak, I., Peleshchak, R., Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model. In: International Journal of Intelligent Systems and Applications, 10, 8-17. (2018) 3. Lytvyn, V., Vysotska, V., Dosyn, D., Burov, Y., Method for ontology content and structure optimization, provided by a weighted conceptual graph. In: Webology, 15(2), 66-85. (2018) 4. Lytvynenko, V., Wojcik, W., Fefelov, A., Lurie, I., Savina, N., Voronenko, M. et al., Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting. In: Lecture Notes in Computational Intelligence and Decision Making, 1020, 513-531. (2020) 5. Lytvyn, V., Kowalska-Styczen, A., Peleshko, D., Rak, T., Voloshyn, V., Noennig, J. R., Vysotska, V., Nykolyshyn, L., Pryshchepa, H., Aviation Aircraft Planning System Project Development. In: Advances in Intelligent Systems and Computing IV, Springer, Cham, 1080, 315-348. (2020) 6. Antonyuk, N., Medykovskyy, M., Chyrun, L., Dverii, M., Oborska, O., Krylyshyn, M., Vysotsky, A., Tsiura, N., Naum, O., Online Tourism System Development for Searching and Planning Trips with User’s Requirements. In: Advances in Intelligent Systems a. |
Content type: | Article |
Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р. |
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2020v2_Kopot_S-Intelligent_System_for_the_303-304.pdf | 379.66 kB | Adobe PDF | View/Open | |
2020v2_Kopot_S-Intelligent_System_for_the_303-304__COVER.png | 333.89 kB | image/png | View/Open |
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