Zobrazeno 1 - 10
of 63 766
pro vyhledávání: '"Kohonen, A."'
Autor:
Tan, Xiaomei1 (AUTHOR) ptz.0351@163.com, Mao, Yajie1 (AUTHOR), Zhang, Jin1 (AUTHOR), Li, Jiansheng1 (AUTHOR)
Publikováno v:
Scientific Reports. 9/30/2024, Vol. 14 Issue 1, p1-11. 11p.
Autor:
Kollasch, Fenja, Polsterer, Kai
Unsupervised learning algorithms like self-organizing Kohonen maps are a promising approach to gain an overview among massive datasets. With UltraPINK, researchers can train, inspect, and explore self-organizing maps, whereby the toolbox of interacti
Externí odkaz:
http://arxiv.org/abs/2406.03832
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract With the continuous updating and progress of medical equipment, the overdue medical device has problems such as management difficulties, resource waste, and potential security risks. Therefore, this paper used the Kohonen network algorithm t
Externí odkaz:
https://doaj.org/article/ca26e5c2e55440e7b0375641aebb1af9
Akademický článek
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Autor:
Linke, Simon, Ziemer, Tim
Publikováno v:
International Conference on Auditory Display 2024
Kohonen Maps, aka. Self-organizing maps (SOMs) are neural networks that visualize a high-dimensional feature space on a low-dimensional map. While SOMs are an excellent tool for data examination and exploration, they inherently cause a loss of detail
Externí odkaz:
http://arxiv.org/abs/2404.00016
Autor:
Senthilnath, J., Bhattiprolu, Adithya, Singh, Ankur, Zhou, Bangjian, Wu, Min, Benediktsson, Jón Atli, Li, Xiaoli
A novel online clustering algorithm is presented where an Evolving Restricted Boltzmann Machine (ERBM) is embedded with a Kohonen Network called ERBM-KNet. The proposed ERBM-KNet efficiently handles streaming data in a single-pass mode using the ERBM
Externí odkaz:
http://arxiv.org/abs/2402.09167
Autor:
Lebedev, V. V.1 (AUTHOR) glory.leb@gmail.com, Buryak, A. K.1 (AUTHOR)
Publikováno v:
Journal of Analytical Chemistry. Dec2023, Vol. 78 Issue 13, p1800-1810. 11p.
Akademický článek
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Autor:
Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Olena Yakovleva, Monika Hudakova, Oleksii Gorokhovatskyi
Publikováno v:
IEEE Access, Vol 12, Pp 73376-73385 (2024)
The research aims to improve structural methods of image classification based on a description as a set of keypoint descriptors. The focus is on implementing a classifier training using a committee of Kohonen networks separately for each description
Externí odkaz:
https://doaj.org/article/ed64a7b21e5e463a8ec266050911ffc3
Publikováno v:
Соціально-економічні відносини в цифровому суспільстві, Vol 3, Iss 53 (2024)
During the war, threats to national security related to illegal financial transactions with the aggressor country, circumvention of sanctions, fraud in the distribution of investment and humanitarian aid, earmarked funds for the reconstruction of des
Externí odkaz:
https://doaj.org/article/cd2c44ba7dfb4cc5bff7d6e1b0613bcf