Zobrazeno 1 - 10
of 157
pro vyhledávání: '"neural network structure"'
Autor:
Obukhov, Artem D.
Publikováno v:
Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика, Vol 23, Iss 1, Pp 113-125 (2023)
Neural networks are actively used in solving various applied problems of data analysis, processing and generation. When using them, one of the difficult stages is the selection of the structure and parameters of neural networks (the number and types
Externí odkaz:
https://doaj.org/article/af7968d42a074f1391a4baf20ed3b0fb
Akademický článek
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Publikováno v:
Current Issues in Molecular Biology, Vol 44, Iss 2, Pp 817-832 (2022)
Large-scale artificial neural networks have many redundant structures, making the network fall into the issue of local optimization and extended training time. Moreover, existing neural network topology optimization algorithms have the disadvantage o
Externí odkaz:
https://doaj.org/article/1fd3077274a74ee2a333acca803a8bd1
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8653 (2023)
Recent meta-learning models often learn priors from observed tasks using a network optimized via stochastic gradient descent (SGD), which usually takes more training steps to convergence. In this paper, we propose an accelerated Bayesian meta-learnin
Externí odkaz:
https://doaj.org/article/700f3c6d6aa64fefa448971bc1711c6b
Publikováno v:
Drones, Vol 7, Iss 7, p 432 (2023)
Tiger nuts are a non-genetically modified organism crop with high adaptability and economic value, and they are being widely promoted for cultivation in China. This study proposed a new yield-estimation method based on a lightweight convolutional neu
Externí odkaz:
https://doaj.org/article/0eda678cb2af455f8ddefeb2d77e7223
Autor:
Shun DEMMI, Toshihiko SHIRAISHI
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 88, Iss 910, Pp 22-00043-22-00043 (2022)
In noise control, the Filtered-x LMS algorithm is generally used as an adaptive algorithm. This algorithm can achieve stable noise reduction with a simple control system. However, it has a disadvantage that the control cannot be performed when the se
Externí odkaz:
https://doaj.org/article/53094219193644fc973620f327aab5ce
Autor:
Sergio Ledesma, Dora-Luz Almanza-Ojeda, Mario-Alberto Ibarra-Manzano, Eduardo Cabal Yepez, Juan Gabriel Avina-Cervantes, Pascal Fallavollita
Publikováno v:
IEEE Access, Vol 8, Pp 156530-156538 (2020)
In this work, we propose an artificial neural network topology to estimate the derivative of a function. This topology is called a differential neural network because it allows the estimation of the derivative of any of the network outputs with respe
Externí odkaz:
https://doaj.org/article/eff82d3676364d4fb16a36018ed58f90
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 4, Pp 86-92 (2019)
The neural networks structure using for task solving of information defense are discussed. The choice of attribute and metadata of executing files with two states (clean and with viruses) which used for multilevel perseptron teaching are built. The t
Externí odkaz:
https://doaj.org/article/348451adfcbe43388dccf002a7768825
Publikováno v:
IEEE Access, Vol 7, Pp 108161-108173 (2019)
Electricity price is an important indicator of the market operation. Accurate prediction of electricity price will facilitate the maximization of economic benefits and reduction of risks to the power market. At the same time, because of the excellent
Externí odkaz:
https://doaj.org/article/263565f3b43647d5af88411f11a2b4e5
Publikováno v:
Symmetry, Vol 14, Iss 7, p 1391 (2022)
A number of modern techniques for neural network training and recognition enhancement are based on their structures’ symmetry. Such approaches demonstrate impressive results, both for recognition practice, and for understanding of data transformati
Externí odkaz:
https://doaj.org/article/b78b05bfa54e4b1bbf38216d68f6688f