Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function Approximation
- DOI
- 10.1109/tim.2021.3121502
- Published
- 2021
- Container
- IEEE Transactions on Instrumentation and Measurement
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tim.2021.3121502,
title = {Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function Approximation},
author = {Lingling Duan and Fabing Duan and Francois Chapeau-Blondeau and Derek Abbott},
year = {2021},
journal = {IEEE Transactions on Instrumentation and Measurement},
doi = {10.1109/tim.2021.3121502},
url = {https://doi.org/10.1109/tim.2021.3121502}
}RIS
TY - JOUR TI - Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function Approximation AU - Lingling Duan AU - Fabing Duan AU - Francois Chapeau-Blondeau AU - Derek Abbott PY - 2021 JO - IEEE Transactions on Instrumentation and Measurement DO - 10.1109/tim.2021.3121502 UR - https://doi.org/10.1109/tim.2021.3121502 ER -
APA
Duan, L., Duan, F., Chapeau-Blondeau, F., & Abbott, D. (2021). Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function Approximation. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/tim.2021.3121502
Source records
- crossref · retrieved 2026-11-08T00:14:36.470Z