The Function Representation of Artificial Neural Network
Machine Learning
2026-02-03 v3 Functional Analysis
Machine Learning
Abstract
This paper expresses the structure of artificial neural network (ANN) as a functional form, using the activation integral concept derived from the activation function. In this way, the structure of ANN can be represented by a simple function, and it is possible to find the mathematical solutions of ANN. Thus, it can be recognized that the current ANN can be placed in a more reasonable framework. Perhaps all questions about ANN will be eliminated.
Keywords
Cite
@article{arxiv.1908.10493,
title = {The Function Representation of Artificial Neural Network},
author = {Zhongkui Ma},
journal= {arXiv preprint arXiv:1908.10493},
year = {2026}
}
Comments
This submission is withdrawn due to factual errors identified after posting that affect the validity of the results