Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Anastasia V. Demidova"'
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 32, Iss 1, Pp 61-73 (2024)
Theanalysisoftrajectorydynamicsandthesolutionofoptimizationproblemsusingcomputermethods are relevant areas of research in dynamic population-migration models. In this paper, four-dimensional dynamic models describing the processes of competition and
Externí odkaz:
https://doaj.org/article/154a0d721365409bb55d7f1f9ef4fd1c
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 31, Iss 1, Pp 27-45 (2023)
When studying deterministic and stochastic population models, the actual problems are the formalization of processes, taking into account new effects caused by the interaction of species, and the development of computer research methods. Computer res
Externí odkaz:
https://doaj.org/article/3cb75ba0ae09445ca95ab930e9e979cf
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 28, Iss 2, Pp 105-119 (2020)
The history of using machine learning algorithms to analyze statistical models is quite long. The development of computer technology has given these algorithms a new breath. Nowadays deep learning is mainstream and most popular area in machine learni
Externí odkaz:
https://doaj.org/article/64ad8efbdcbc4018b325db512aca9062
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 27, Iss 4, Pp 305-315 (2019)
The article is an overview. We carry out the comparison of actual machine learning libraries that can be used the neural networks development. The first part of the article gives a brief description of TensorFlow, PyTorch, Theano, Keras, SciKit Learn
Externí odkaz:
https://doaj.org/article/0e46f89d843340cb8a1f581532fc919e
Publikováno v:
Mathematics, Vol 9, Iss 24, p 3303 (2021)
The problems of synthesis and analysis of multidimensional controlled models of population dynamics are of both theoretical and applied interest. The need to solve numerical optimization problems for such a class of models is associated with the expa
Externí odkaz:
https://doaj.org/article/223665b5d67a4e42abb5dcddb3fdfba8
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 28, Iss 2, Pp 105-119 (2020)
The history of using machine learning algorithms to analyze statistical models is quite long. The development of computer technology has given these algorithms a new breath. Nowadays deep learning is mainstream and most popular area in machine learni
Publikováno v:
Mathematical Biology and Bioinformatics. 15:180-194
In this paper, we propose an approach to solving the problem of recognizing skin lesions, namely melanoma, based on the analysis of dermoscopic images using deep learning methods. For this purpose, the architecture of a deep convolutional neural netw
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030971090
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be914f85afb175659adf1e1f0cebb97d
https://doi.org/10.1007/978-3-030-97110-6_29
https://doi.org/10.1007/978-3-030-97110-6_29
Publikováno v:
Computational Mathematics and Mathematical Physics. 60:65-73
This paper has a practical aim. For a long time, implementations of pseudorandom number generators in standard libraries of programming languages had poor quality. The situation started to improve only recently. Up to now, a large number of libraries
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 27, Iss 4, Pp 305-315 (2019)
The article is an overview. We carry out the comparison of actual machine learning libraries that can be used the neural networks development. The first part of the article gives a brief description of TensorFlow, PyTorch, Theano, Keras, SciKit Learn