Constructive Approximation of Random Process via Stochastic Interpolation Neural Network Operators

This article likely presents a novel approach to approximating random processes using neural networks. The focus is on a constructive method, suggesting a focus on building or designing the approximation rather than simply learning it. The use of 'stochastic interpolation' implies the method incorporates randomness and aims to find a function that passes through known data points while accounting for uncertainty. The source, ArXiv, indicates this is a pre-print, suggesting it's a research paper.

• •Focuses on a constructive method for approximating random processes.
• •Utilizes stochastic interpolation, implying the incorporation of randomness.
• •Likely a research paper, as indicated by the ArXiv source.