#topology-preservation

Advanced Topology-Preserving Neural Networks: An Extension of ONN/ORTSF Framework with Dynamic Structural Optimization

This work presents the first comprehensive empirical investigation into the practical realization of performance bounds theoretically established by the Ontolog

Constructive Lyapunov Functions via Topology-Preserving Neural Networks

We present a constructive solution to the Lyapunov–Massera–Kurzweil problem via Ontology Neural Networks (ONN), bridging a 60-year gap between existence and con