Cargando…
Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks
Convolutional neural networks have become one of the most powerful computing tools of artificial intelligence in recent years. They are especially suitable for the analysis of images and other data that have an inherent sequence structure, such as time series data. In the case of data in the form of...
Autor principal: | Bereta, Michał |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587074/ https://www.ncbi.nlm.nih.gov/pubmed/34770528 http://dx.doi.org/10.3390/s21217221 |
Ejemplares similares
-
Wind Data Mining by Kohonen Neural Networks
por: Fayos, José, et al.
Publicado: (2007) -
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses
por: Zhou, Guo, et al.
Publicado: (2023) -
Kohonen Neural Network Investigation of the Effects of the Visual, Proprioceptive and Vestibular Systems to Balance in Young Healthy Adult Subjects
por: Ojie, Oseikhuemen Davis, et al.
Publicado: (2021) -
The Spread of the COVID-19 Outbreak in Brazil: An Overview by Kohonen Self-Organizing Map Networks
por: Galvan, Diego, et al.
Publicado: (2021) -
Molecular subtyping of bladder cancer using Kohonen self-organizing maps
por: Borkowska, Edyta M, et al.
Publicado: (2014)