A Hopfield neural network trained on two bat calls classifies 10,384 recordings in 5.4 seconds with claimed accuracy up to 80%, though the headline numbers hinge on removing ambiguous calls.
, author Jones, G
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network
A Hopfield neural network trained on two bat calls classifies 10,384 recordings in 5.4 seconds with claimed accuracy up to 80%, though the headline numbers hinge on removing ambiguous calls.