Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting
With the growing use of artificial neural networks (ANNs) in temporal data processing tasks, the cost of training of complex ANNs is an increasing concern. Physical reservoir computing (RC), a variation of recurrent neural networks (RNNs), obviates the need for most data intensive matrix vector mult...
Main Authors: | Walid Al Misba, Harindra S. Mavikumbure, Md Mahadi Rajib, Daniel L. Marino, Victor Cobilean, Milos Manic, Jayasimha Atulasimha |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10311403/ |
Similar Items
-
From MTJ Device to Hybrid CMOS/MTJ Circuits: A Review
by: Vinod Kumar Joshi, et al.
Published: (2020-01-01) -
Magnetic skyrmions: materials, manipulation, detection, and applications in spintronic devices
by: Huai Zhang, et al.
Published: (2023-01-01) -
Audio Classification with Skyrmion Reservoirs
by: Robin Msiska, et al.
Published: (2023-06-01) -
Hybrid Spintronics/CMOS Logic Circuits Using All-Optical-Enabled Magnetic Tunnel Junction
by: Surya Narain Dikshit, et al.
Published: (2022-01-01) -
Tunneling magnetoresistance materials and devices for neuromorphic computing
by: Yuxuan Yao, et al.
Published: (2023-01-01)