A machine learning model trained on recurrence quantifiers of a standard map can detect resonances in other 2D systems, but its generalization to a 4D map requires matching embedding conditions and yields unclear peaks.
The initial conditions are taken along the pr = 0 line on the Poincar´ e section in r ∈ [6.36M, 6.43M ] spaced at 0.001M
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Combining Machine Learning with Recurrence Analysis for resonance detection
A machine learning model trained on recurrence quantifiers of a standard map can detect resonances in other 2D systems, but its generalization to a 4D map requires matching embedding conditions and yields unclear peaks.