Approximation of Functions in L_P Spaces for p

Main Article Content

Eman Samir Bhaya
Zainab Abdulmunim Sharba

Abstract

   Many papers introduced about the approximation of continuous functions using neural networks. In this paper we use neural network to approximate functions in  spaces for p . We study the approximation for functions defined on the complete real line using neural networks with radial basis having constant weight. We also use convolution to approximate functions in  spaces for a compact interval using radial basis function neural networks of constant weights.

Article Details

How to Cite
[1]
“Approximation of Functions in L_P Spaces for p”, JUBPAS, vol. 27, no. 3, pp. 400–405, Jul. 2019, Accessed: Mar. 28, 2024. [Online]. Available: https://www.journalofbabylon.com/index.php/JUBPAS/article/view/2550
Section
Articles

How to Cite

[1]
“Approximation of Functions in L_P Spaces for p”, JUBPAS, vol. 27, no. 3, pp. 400–405, Jul. 2019, Accessed: Mar. 28, 2024. [Online]. Available: https://www.journalofbabylon.com/index.php/JUBPAS/article/view/2550

Similar Articles

You may also start an advanced similarity search for this article.