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cigarettes (2.4% nicotine). Scale bar=25

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Deep learning-based reduced order models in cardiac electrophysiology

potential (37) are given by removedGRAPHIC t ~ m s=12
pone.0239416.e024">removedGRAPHIC ∑ i=1 N σ i 2 ∑ i=1 N s σ i 2>1
pone.0239416.e049">removedGRAPHIC min θ J (θ)=min θ 1 N s ∑ i=1
by<disp formula id="pone.0239416.e055">removedGRAPHIC σ (x ; μ)=rho (x ; μ) + σ 0 (1 - rho (x ; μ), rho (x ; μ)=1 - exp (- (x 1 - μ 1) 4
i.e. n=3, we obtain an error indicator (15), eta rel=2.01 -10^-2
p 2 (x, t ; μ)=1 Omega 2 (μ) x 1 t 2 i, t 2
is associated-μtest=0.7875 cm, theing parameter instancebetweenμtrain=0.775
instance μtest=0.9625 cm. The relative error etak is below 0.1%