On the approximation by single hidden layer feedforward neural networks with fixed weights

21 August 2017

Papers citing "On the approximation by single hidden layer feedforward neural networks with fixed weights"

17 / 17 papers shown

Title
On shallow feedforward neural networks with inputs from a topological space Vugar Ismailov 54 0 0 03 Apr 2025
Approximation properties of neural ODEs Arturo De Marinis Davide Murari E. Celledoni Nicola Guglielmi B. Owren Francesco Tudisco 52 1 0 19 Mar 2025
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis Hyunwoo Lee Hayoung Choi Hyunju Kim 44 1 0 03 Oct 2024
Numerical Approximation Capacity of Neural Networks with Bounded Parameters: Do Limits Exist, and How Can They Be Measured? Li Liu Tengchao Yu Heng Yong 20 0 0 25 Sep 2024
Universal approximation theorem for neural networks with inputs from a topological vector space Vugar Ismailov 47 1 0 19 Sep 2024
XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays Umaima Rahman Abhishek Basu Muhammad Uzair Khattak Aniq Ur Rahman MedIm 44 0 0 21 Aug 2024
A Survey on Universal Approximation Theorems Midhun T. Augustine 39 4 0 17 Jul 2024
Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line M. Toller Hussain Hussain Bernhard C Geiger 19 0 0 04 Jun 2024
Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks Marcos Eduardo Valle Wington L. Vital Guilherme Vieira 22 7 0 04 Jan 2024
Trainable and Explainable Simplicial Map Neural Networks Eduardo Paluzo-Hidalgo Miguel A. Gutiérrez-Naranjo Rocio Gonzalez-Diaz AAML 34 1 0 29 May 2023
Approximation error of single hidden layer neural networks with fixed weights V. Ismailov MLT 13 6 0 07 Feb 2022
On the approximation of functions by tanh neural networks Tim De Ryck S. Lanthaler Siddhartha Mishra 34 138 0 18 Apr 2021
Elementary superexpressive activations Dmitry Yarotsky 27 35 0 22 Feb 2021
Approximation capability of two hidden layer feedforward neural networks with fixed weights Namig J. Guliyev V. Ismailov 28 70 0 22 Jan 2021
Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation Arnulf Jentzen Timo Welti 27 15 0 03 Mar 2020
Negative results for approximation using single layer and multilayer feedforward neural networks J. M. Almira P. E. López-de-Teruel D. J. Romero-Lopez F. Voigtlaender MLT 21 2 0 23 Oct 2018
On decision regions of narrow deep neural networks H. Beise S. Cruz Udo Schröder MLT 18 16 0 03 Jul 2018