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Abstract. Here we study the multivariate quantitative constructive approximation of real and complex valued continuous multivariate functions on a box or R N , ...
Here we study the multivariate quantitative constructive approximation of real and complex valued continuous multivariate functions on a box or RN, NεN, ...
Here we present the multivariate quantitative constructive approximation of real and complex valued continuous multivariate functions on a box or ℝN, N εℕ, ...
Here we study the multivariate quantitative constructive approximation of real and complex valued continuous multivariate functions on a box or R^N, N@?
Abstract. Here we exhibit multivariate quantitative approximations of Banach space valued continuous multivariate functions on a box or RN , N G N,.
Multivariate NNs approximation finds applications, typically, in neurocomputing processes. Our approach to NN operators allows us to extend previous convergence ...
May 17, 2024 · Multivariate NNs approximation finds applications, typically, in neurocomputing processes. Our approach to NN operators allows us to extend ...
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In this paper, we show how to use sigmoidal functions in order to generate approximation operators for multivariate functions of bounded variation.
This paper shows how to use sigmoidal functions in order to generate approximation operators for multivariate functions of bounded variation and applies ...
It is well known that feed-forward neural networks can be used for approximation to functions based on an appropriate activation function.