Chaotic neural network model for SMISs reliability prediction based on interdependent network SMISs reliability prediction by chaotic neural network
J Zhu, Z Gong, Y Sun, Z Dou - Quality and Reliability …, 2021 - Wiley Online Library
With the development of industrial Internet, smart manufacturing information systems
(SMISs) are faced with more uncertainties, dynamics, and complexity. These problems bring …
(SMISs) are faced with more uncertainties, dynamics, and complexity. These problems bring …
Minimal Chaotic Networks of Linear Neuron-Like Elements with Single Rectification: Three Prototypes
Y Horikawa - International Journal of Bifurcation and Chaos, 2023 - World Scientific
Chaotic oscillations induced by single rectification in networks of linear neuron-like elements
are examined on three prototype models: one nonautonomous system and two autonomous …
are examined on three prototype models: one nonautonomous system and two autonomous …
Bifurcations and chaos in a minimal neural network: Forced coupled neurons
Y Horikawa - International Journal of Bifurcation and Chaos, 2021 - World Scientific
The bifurcations and chaos in a system of two coupled sigmoidal neurons with periodic input
are revisited. The system has no self-coupling and no inherent limit cycles in contrast to the …
are revisited. The system has no self-coupling and no inherent limit cycles in contrast to the …
On periodic solutions of a two-neuron network system with sigmoidal activation functions
In this paper we study the existence, uniqueness and stability of periodic solutions for a two-
neuron network system with or without external inputs. The system consists of two identical …
neuron network system with or without external inputs. The system consists of two identical …
[PDF][PDF] On the controllability of a two-cell CNN
T Lara, E Rosales - Boletın de la Asociación Matemática Venezolana, 2011 - gwdg.de
In this paper we study and characterize the controllability of a constant 2-cells CNN (Cellular
Neural Network) with feedback resembling a symmetric or antisymmetric matrix and input …
Neural Network) with feedback resembling a symmetric or antisymmetric matrix and input …