Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Victor Luferov"'
Publikováno v:
Proceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22) ISBN: 9783031196195
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f91922e60ed49c53df6773f1f51b75a3
https://doi.org/10.1007/978-3-031-19620-1_46
https://doi.org/10.1007/978-3-031-19620-1_46
Autor:
Vadim Borisov, Victor Luferov
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030871772
The method of analysis and forecasting of multidimensional time series (MTS) based on the proposed type of Neuro-Fuzzy Cognitive Temporal Models (NFCTM) is considered. The method provides accounting for the direct, indirect and accumulated interactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68cfd1318c77641db91a9c23ec08327e
https://doi.org/10.1007/978-3-030-87178-9_15
https://doi.org/10.1007/978-3-030-87178-9_15
Autor:
Victor Luferov, Vadim Borisov
Publikováno v:
Computación y Sistemas. 24
A new type of Neuro-Fuzzy Cognitive Temporal Models (NFCTM) is proposed for predicting multidimensional time series (MTS) taking into account the fuzzy trends of all MTS components. NFCTMS allow predicting the MTS in conditions of non-stochastic unce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c94833bd24f011db2ef3ca4daa7fe08
https://doi.org/10.13053/cys-24-3-3477
https://doi.org/10.13053/cys-24-3-3477
Autor:
Vadim Borisov, Victor Luferov
Publikováno v:
2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP).
The limitations of existing models and methods for forecasting multidimensional time series are, first of all, the complexity of integration of the indirect influence of interdependent time series under uncertainty, and also reduction of this complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d70930828e8be38038052f3f3004bdbd
https://doi.org/10.1109/cscmp45713.2019.8976821
https://doi.org/10.1109/cscmp45713.2019.8976821
Autor:
E. V. Fedotova, Victor Luferov
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030197377
CORES
CORES
A supervised deep learning approach has been developed to automate recognition of the large-scale atmospheric circulation patterns. The approach is based on an application of the convolution neural network. The reanalysis meteorological fields were u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3344a37f982189149b95ba51467e2f91
https://doi.org/10.1007/978-3-030-19738-4_20
https://doi.org/10.1007/978-3-030-19738-4_20