Zobrazeno 1 - 10
of 580
pro vyhledávání: '"neural network learning"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract When INS/GNSS (inertial navigation system/global navigation satellite system) integrated system is applied, it will be affected by the insufficient number of visible satellites, and even the satellite signal will be lost completely. At this
Externí odkaz:
https://doaj.org/article/a66d5643708e443b8ab3fd9dbd5ff302
Publikováno v:
Известия высших учебных заведений: Прикладная нелинейная динамика, Vol 32, Iss 1, Pp 72-95 (2024)
The purpose of this study — to represent a detailed description of the procedure for creating and training a neural network mapping on the example of the dynamics modeling of a neural oscillator of the Hodgkin–Huxley type; to show that the neural
Externí odkaz:
https://doaj.org/article/eff2695ea30b48db9d4fd02007593662
Publikováno v:
Automatika, Vol 64, Iss 4, Pp 996-1009 (2023)
Mobile Ad-hoc Networks (MANETs) are wireless networks formed dynamically by connecting or leaving nodes to and from the network without any fixed infrastructure. These categories of wireless networks are susceptible to different attacks based on thei
Externí odkaz:
https://doaj.org/article/da9fc0282da04894ad5801114e986103
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2131 (2024)
In the domain of multi-label classification, label correlations play a crucial role in enhancing prediction precision. However, traditional methods heavily depend on ground-truth label sets, which can be incompletely tagged due to the diverse backgro
Externí odkaz:
https://doaj.org/article/19692869d92641f59399e65b411f071c
Publikováno v:
IEEE Access, Vol 11, Pp 31304-31322 (2023)
Carbon storage capacity can be estimated to establish evaluation standards and statistics for carbon neutrality. Existing estimation methods including machine learning system have weakness modeling ability, and they are unable to deal with the comple
Externí odkaz:
https://doaj.org/article/52ec382aa95d47c69bfd49e798a216c2
Publikováno v:
Engineering, Vol 17, Iss , Pp 232-243 (2022)
Existing biomimetic robots can perform some basic rat-like movement primitives (MPs) and simple behavior with stiff combinations of these MPs. To mimic typical rat behavior with high similarity, we propose parameterizing the behavior using a probabil
Externí odkaz:
https://doaj.org/article/b5084be1ee4945be929b52702facdd39
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Partially supervised learning (PSL) is urgently necessary to explore to construct an efficient universal lesion detection (ULD) segmentation model. An annotated dataset is crucial but hard to acquire because of too many Computed tomography (CT) image
Externí odkaz:
https://doaj.org/article/c4b535c16be5480aa4c9772ee5cacdd3
Autor:
Dmitry Stenkin, Vladimir Gorbachenko
Publikováno v:
Mathematics, Vol 12, Iss 2, p 241 (2024)
The article is devoted to approximate methods for solving differential equations. An approach based on neural networks with radial basis functions is presented. Neural network training algorithms adapted to radial basis function networks are proposed
Externí odkaz:
https://doaj.org/article/aabcd1d014c84ee8a617e588c9bcf97b
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