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Model-independent reconstruction of Kaniadakis holographic dark energy with neural networks: constraints from Pantheon+SH0ES
Model-independent reconstruction of Kaniadakis holographic dark energy (KHDE), future event horizon IR cutoff, via ANNs trained on simulated Type Ia SNe. Mock Pantheon ($N=1048$) and Pantheon+SH0ES ($N=1701$, 77 Cepheid-calibrated) sets generated from fiducial KHDE ($c=1.15$, $β=0.30$, $Ω_m=0.30$, $
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