A neuromorphic radial-basis-function net using magnetic bits for time series prediction
Magnetic tunnel junctions (MTJs) are considered strong candidates for constructing neuromorphic systems owing to their low power consumption and high integrability. However, research on MTJ-based local approximation network is still lacking. In this work, we propose an MTJ-based radial basis functio...
Saved in:
| Main Authors: | Hening Qin, Zhiqiang Liao, Hitoshi Tabata |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024016244 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Three-Dimensional Reconstruction of the Right Ventricle from a Radial Basis Morphing of the Inner Surface
by: Carlotta Fontana, et al.
Published: (2024-10-01) -
Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions
by: V. F. Korotkov, et al.
Published: (2017-02-01) -
Adopting the Multiresolution Wavelet Analysis in Radial Basis Functions to Solve the Perona-Malik Equation
by: A. Khatoon Abadi, et al.
Published: (2018-10-01) -
A radial basis function artificial neural network model for water quality evaluation
by: GUO Zong-lou
Published: (2001-05-01) -
Dynamics and Stabilization of Chaotic Monetary System Using Radial Basis Function Neural Network Control
by: Muhamad Deni Johansyah, et al.
Published: (2024-12-01)