Trigonometric Neural Networks Lp , p<1 Approximation
Eman Samir Bhaya, Zaineb Hussain Abd Al-sadaa · Journal of Physics Conference Series · 2020
Abstract Many researchers studied the approximation by neural networks approximation. However only using first or second modulus, that is with low speed approaching zero. Here we define a neural network. Then we use it to approximate functions from Lp− quasi normed spaces we prove upper and lower bounds trigonometric neural networks estimations using the modulus of smoothness of order k.