On the computational complexity of learning bithreshold neural units and networks V Kotsovsky, F Geche, A Batyuk Lecture Notes in Computational Intelligence and Decision Making: Proceedings …, 2020 | 28 | 2020 |
Designing fuzzy expert methods of numeric evaluation of an object for the problems of forecasting O Mulesa, F Geche Восточно-Европейский журнал передовых технологий, 37-43, 2016 | 28 | 2016 |
Development of combined information technology for time series prediction O Mulesa, F Geche, A Batyuk, V Buchok Conference on Computer Science and Information Technologies, 361-373, 2017 | 26 | 2017 |
Information technology for determining structure of social group based on fuzzy c-means O Mulesa, F Geche, A Batyuk 2015 Xth International Scientific and Technical Conference" Computer …, 2015 | 22 | 2015 |
Finite generalization of the offline spectral learning V Kotsovsky, F Geche, A Batyuk 2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018 | 19 | 2018 |
Algebraic aspects of threshold logic NN Aizenberg, AA Bovdi, EI Gergo, FE Geche Cybernetics 16 (2), 188-193, 1980 | 19 | 1980 |
Development of effective time series forecasting model F Geche, A Batyuk, O Mulesa, M Vashkeba International Journal of Advanced Research in Computer Engineering …, 2015 | 16 | 2015 |
Artificial complex neurons with half-plane-like and angle-like activation function V Kotsovsky, F Geche, A Batyuk 2015 Xth International Scientific and Technical Conference" Computer …, 2015 | 15 | 2015 |
Development of synthesis method of predictive schemes based on basic predictive models ФЕ Гече, ОЮ Мулеса, СФ Гече, ММ Вашкеба Technology Audit and Production Reserves 3 (2), 36-41, 2015 | 15* | 2015 |
Bithreshold neural network classifier V Kotsovsky, F Geche, A Batyuk 2020 IEEE 15th international conference on computer sciences and information …, 2020 | 14 | 2020 |
Development of models and algorithms for estimating the potential of personnel at health care institutions О Mulesa, F Geche, V Nazarov, M Trombola Восточно-Европейский журнал передовых технологий, 52-59, 2019 | 14 | 2019 |
Synthesis of the integer neural elements F Geche, V Kotsovsky, A Batyuk 2015 Xth International Scientific and Technical Conference" Computer …, 2015 | 14 | 2015 |
Synthesis of Time Series Forecasting Scheme Based on Forecasting Models System. F Geche, V Kotsovsky, A Batyuk, S Geche, M Vashkeba ICTERI, 121-136, 2015 | 13 | 2015 |
Using a systematic approach in the process of the assessment problem analysis of the staff capacity within the health care institution O Mulesa, F Geche, A Batyuk, I Myronyuk 2018 IEEE 13th International Scientific and Technical Conference on Computer …, 2018 | 12 | 2018 |
Information technology for time series forecasting with considering fuzzy expert evaluations O Mulesa, F Geche, V Voloshchuk, V Buchok, A Batyuk 2017 12th International Scientific and Technical Conference on Computer …, 2017 | 12 | 2017 |
Verification of realizability of boolean functions by a neural element with a threshold activation function F Geche, O Mulesa, V Buchok Восточно-Европейский журнал передовых технологий 1 (4 (85)), 30-40, 2017 | 11 | 2017 |
The Combined Time Series Forecasting Model F Geche, A Batyuk, O Mulesa, V Voloshchuk 2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020 | 6 | 2020 |
Generalized logical neural functions over the galois field and their properties F Geche, O Mulesa, V Voloshchuk, A Batyuk 2019 IEEE 14th International Conference on Computer Sciences and Information …, 2019 | 5 | 2019 |
Synthesis of generalized neural elements by means of the tolerance matrices F Geche, O Mulesa, V Buchok Восточно-Европейский журнал передовых технологий, 50-62, 2017 | 5 | 2017 |
Nekotorye algebraicheskie aspekty porogovoy logiki NN Ayzenberg, AA Bovdi, EY Gergo, FE Geche Kibernetika 2, 26, 1980 | 5 | 1980 |