The RBF neural network is designed to estimate the unknown model nonlinearity, and the stability of the closed-loop system is proved. Finally, simulations and experiments are carried out to illustrate ...
The efficacy of these approximations is illustrated by their use in compensating for nonlinearity through the waveshaping of the input signal. The comparative analysis demonstrates that the ...
DIGITAL transformation has become the cornerstone of resilience and adaptability in a world that is increasingly 'BANI' — or brittle, anxious, nonlinear and incomprehensible.
A novel method of electrical stimulation to precisely control neural activity for sensory restoration exhibits improvements in visual stimulus reconstruction, enables efficient hardware design, and ...
RCS analyses showed a nonlinear and J-shaped positive association between BMI and chronic pain (odds ratio [OR], 1.45; 95% CI, 1.27-1.66; all P for nonlinearity <.05). Subgroup analyses showed that ...
This manuscript introduces DendroTweaks, a useful web application and Python library that, compared to existing modeling tools, eases interactive graphical exploration, development, and validation of ...
Constrained Nonlinear Programs (NLPs) represent a category of mathematical optimization problems in which the objective function, constraints, or both, exhibit nonlinearity. The versatility of NLPs ...
This review begins by introducing the development history of optical neural networks (ONNs) and the mathematical models of optical artificial neurons. It explores the differences in constructing ONNs ...