Enhancing threshold neural network via suprathreshold stochastic resonance for pattern classification

DOI10.1016/J.PHYSLETA.2021.127387OpenAlexW3157620487MaRDI QIDQ2233111

Fabing Duan, Lingling Duan, François Chapeau-Blondeau, Xiao-Jie Liu, Derek Abbott

Publication date: 14 October 2021

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2021.127387

zbMATH Keywords

pattern classificationbackpropagationsuprathreshold stochastic resonancenoise-smoothed activation functionthreshold neural network

Mathematics Subject Classification ID

Quantum theory (81-XX) Statistical mechanics, structure of matter (82-XX)

Related Items (2)

Echo state network activation function based on bistable stochastic resonance ⋮ Training threshold neural networks by extreme learning machine and adaptive stochastic resonance

Uses Software

• PRMLT

Cites Work

• Unnamed Item
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