Approximation capabilities of certain nonlinear neural network operators

Authors: Sachin Saini, Uaday Singh
Publication: Journal of Computational and Applied Mathematics
Published: Oct 1, 2026
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

Gaussian Variational Approximation with Composite Likelihood for Crossed Random Effect Models

Libai Xu, Nancy Reid et al. - Jan 2028

Read More
Digital transformation strategy capabilities in developing countries: evidences from Iraqi universities

Zaidoon Fareed Ahmed, Hatem Ali Abdullah - Jan 2028

Read More
Random Weighting Approximation of M-estimators with Increasing Dimensions of Parameter

Ruixing Ming, Chengyao Yu et al. - Jan 2028

Read More
Global well-posedness and numerical approximation of a coupled Darcy-convection-diffusion system with exponential nonlinearity

Sahil Kundu, Amiya Kumar Pani et al. - Feb 2027

Read More
Compact hybrid fractal MIMO antenna with T-shaped DGS for enhanced isolation in S-band NavIC applications

Himanshu Kumar, Garima Saini et al. - Jan 2027

Read More
Journal Ideas PyMinds Charcha More
PORE

About

About Us

Resources

Help Centre Research Guides CiteScore

Legal

Terms of Service Privacy Policy Cookie Policy Accessibility

Connect

Contact Us
© 2026 PORE. Content available under CC BY-NC 4.0