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News/Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets
arxiv
PublishedSeptember 18, 2026 at 4:00 AM

Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets

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arXiv:2605.27411v2 Announce Type: replace-cross Abstract: Aim/Introduction: Distance-encoding biomorphic-informational neural network (DEBI-NN) is a recently proposed architecture in which connection weights are defined by the distances between neurons positioned in a Euclidian space. This approach

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