Prime-Fork Neural Network (PFNN): A Dynamic Neural Architecture Driven by Prime Number Transitions

Fuente: Zenodo

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rezapour, Majid, Rezapour, Ramin
Format:	Recurso digital
Langue:	anglais
Publié:	Zenodo 2025
Sujets:	Prime Numbers Neural Architecture Function Switching Modular Logic Prime-Indexed Transition Dynamic Neural Network Adaptive Computation Nonlinear Activation Prime-Based Encoding Hybrid AI Models Discrete Learning Systems Mathematical Discontinuity Logic-Based Switching Forked Neural Logic Entropy-Guided Adaptation Phase-Switch Neural Dynamics Intelligent Signal Routing Deterministic Function Selection Gradient-Sensitive Architecture Prime-Fork Neural Framework
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Internet