CISMN: A Chaos-Integrated Synaptic-Memory Network with Multi-Compartment Chaotic Dynamics for Robust Nonlinear Regression

Modeling complex, non-stationary dynamics remains challenging for deterministic neural networks. We present the Chaos-Integrated Synaptic-Memory Network (CISMN), which embeds controlled chaos across four modules—Chaotic Memory Cells, Chaotic Plasticity Layers, Chaotic Synapse Layers, and a Chaotic A...

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Autores principales:	Yaser Shahbazi, Mohsen Mokhtari Kashavar, Abbas Ghaffari, Mohammad Fotouhi, Siamak Pedrammehr
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-05-01
Colección:	Mathematics
Materias:	Chaos-Integrated Synaptic-Memory Network (CISMN) chaos theory artificial neural networks dynamic learning machine learning complex systems
Acceso en línea:	https://www.mdpi.com/2227-7390/13/9/1513
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