Echo state network activation function based on bistable stochastic resonance
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Title
Echo state network activation function based on bistable stochastic resonance
Authors
Keywords
Stochastic resonance, Noisy adaptability, Echo state network, Short-term memory, Activation function, Reservoir computing
Journal
CHAOS SOLITONS & FRACTALS
Volume 153, Issue -, Pages 111503
Publisher
Elsevier BV
Online
2021-10-31
DOI
10.1016/j.chaos.2021.111503
References
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- Medical Image Analysis using Convolutional Neural Networks: A Review
- (2018) Syed Muhammad Anwar et al. JOURNAL OF MEDICAL SYSTEMS
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- (2015) Boudjelal Meftah et al. Cognitive Computation
- Optimized echo state networks using a big bang–big crunch algorithm for distance protection of series-compensated transmission lines
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- (2013) Min Han et al. NEURAL PROCESSING LETTERS
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- (2012) François Duport et al. OPTICS EXPRESS
- LMI-based robust adaptive synchronization of FitzHugh–Nagumo neurons with unknown parameters under uncertain external electrical stimulation
- (2011) Muhammad Rehan et al. PHYSICS LETTERS A
- Information processing using a single dynamical node as complex system
- (2011) L. Appeltant et al. Nature Communications
- Echo state networks with filter neurons and a delay&sum readout
- (2009) Georg Holzmann et al. NEURAL NETWORKS
- Multiplicative-noise-induced coherence resonance via two different mechanisms in bistable neural models
- (2008) Jun Tang et al. PHYSICAL REVIEW E
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