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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52170
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dc.contributor.authorKopot, Sofiya
dc.contributor.authorRyshkovets, Yuriy
dc.contributor.authorBurmai, Eduard
dc.coverage.temporal23-24 April 2020, Lviv, Ukraine
dc.date.accessioned2020-06-12T11:10:11Z-
dc.date.available2020-06-12T11:10:11Z-
dc.date.created2020-04-23
dc.date.issued2020-04-23
dc.identifier.citationKopot 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).
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/52170-
dc.format.extent303-304
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofComputational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020
dc.relation.urihttps://journals.sagepub.com/doi/abs/10.3141/2135-11
dc.titleIntelligent System for the Choice of Leisure
dc.typeArticle
dc.rights.holder© Національний університет “Львівська політехніка”, 2020
dc.contributor.affiliationLviv Polytechnic National University
dc.format.pages2
dc.identifier.citationenKopot 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).
dc.relation.references1. 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
dc.relation.references2. 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)
dc.relation.references3. 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)
dc.relation.references4. 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)
dc.relation.references5. 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)
dc.relation.references6. 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.
dc.relation.referencesen1. 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
dc.relation.referencesen2. 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)
dc.relation.referencesen3. 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)
dc.relation.referencesen4. 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)
dc.relation.referencesen5. 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)
dc.relation.referencesen6. 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.
dc.citation.spage303
dc.citation.epage304
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
Appears in Collections:Computational linguistics and intelligent systems. – 2020 р.

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