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cs.LG2026
Max-Min Neural Network Operators For Approximation of Multivariate Functions
Abhishek Yadav, Uaday Singh, Feng Dai
In this paper, we develop a multivariate framework for approximation by max-min neural network operators. Building on the recent advances in approximation theory by neural network…
cs.LG2026
Kantorovich-Type Stochastic Neural Network Operators for the Mean-Square Approximation of Certain Second-Order Stochastic Processes
Sachin Saini, Uaday Singh
Artificial neural network operators (ANNOs) have been widely used for approximating deterministic input-output functions; however, their extension to random dynamics remains compar…