Zobrazeno 1 - 3
of 3
pro vyhledávání: '"оперативність обробки інформації"'
Publikováno v:
Eastern-European Journal of Enterprise Technologies; Vol. 3 No. 4 (117) (2022): Mathematics and Cybernetics-applied aspects; 6-14
Eastern-European Journal of Enterprise Technologies; Том 3 № 4 (117) (2022): Математика та кібернетика-прикладні аспекти; 6-14
Eastern-European Journal of Enterprise Technologies; Том 3 № 4 (117) (2022): Математика та кібернетика-прикладні аспекти; 6-14
The features of modern military conflicts require significantly increasing requirements for the efficiency of determining a rational route for the transmission of information. It is necessary to develop algorithms (methods and techniques) that are ab
Publikováno v:
Eastern-European Journal of Enterprise Technologies; Vol. 2 No. 3 (116) (2022): Control processes; 6-14
Eastern-European Journal of Enterprise Technologies; Том 2 № 3 (116) (2022): Процеси управління; 6-14
Eastern-European Journal of Enterprise Technologies; Том 2 № 3 (116) (2022): Процеси управління; 6-14
The peculiarities of modern military conflicts significantly increase the requirements for the efficiency of object state assessment. Therefore, it is necessary to develop algorithms (methods and techniques) that can assess the state of the monitorin
Autor:
Mahdi, Qasim Abbood
Publikováno v:
Eastern-European Journal of Enterprise Technologies; Vol. 1 No. 9(115) (2022): Information and controlling system; 35-44
Eastern-European Journal of Enterprise Technologies; Том 1 № 9(115) (2022): Информационно-управляющие системы; 35-44
Eastern-European Journal of Enterprise Technologies; Том 1 № 9(115) (2022): Інформаційно-керуючі системи; 35-44
Eastern-European Journal of Enterprise Technologies; Том 1 № 9(115) (2022): Информационно-управляющие системы; 35-44
Eastern-European Journal of Enterprise Technologies; Том 1 № 9(115) (2022): Інформаційно-керуючі системи; 35-44
We developed a method of training artificial neural networks for intelligent decision support systems. A distinctive feature of the proposed method consists in training not only the synaptic weights of an artificial neural network, but also the type