Cargando…
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm
In a previous work (S. Fiori, 2006), we proposed a random number generator based on a tunable non-linear neural system, whose learning rule is designed on the basis of a cardinal equation from statistics and whose implementation is based on look-up tables (LUTs). The aim of the present manuscript is...
Autor principal: | Fiori, Simone |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2376097/ https://www.ncbi.nlm.nih.gov/pubmed/18483612 http://dx.doi.org/10.1155/2008/426080 |
Ejemplares similares
-
Frequency Scanning Dual-Mode Asymmetric Dual-OAM-Wave Generation Base on Broadband PB Metasurface
por: Yu, Jiayu, et al.
Publicado: (2022) -
A Variational Algorithm for Quantum Neural Networks
por: Macaluso, Antonio, et al.
Publicado: (2020) -
Impact of Asymmetric Weight Update on Neural Network Training With Tiki-Taka Algorithm
por: Lee, Chaeun, et al.
Publicado: (2022) -
Multi-Object Tracking Algorithm for RGB-D Images Based on Asymmetric Dual Siamese Networks
por: Zhang, Wen-Li, et al.
Publicado: (2020) -
Asymmetric cyanation of imines via dipeptide-derived organophosphine dual-reagent catalysis
por: Wang, Hong-Yu, et al.
Publicado: (2016)