On the Computability of Primitive Recursive Functions by Feedforward Artificial Neural Networks

被引:0
|
作者
Kulyukin, Vladimir A. [1 ]
机构
[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA
关键词
computability theory; theory of recursive functions; artificial neural networks; APPROXIMATION;
D O I
10.3390/math11204309
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We show that, for a primitive recursive function h(x,t), where x is a n-tuple of natural numbers and t is a natural number, there exists a feedforward artificial neural network N(x,t), such that for any n-tuple of natural numbers z and a positive natural number m, the first m+1 terms of the sequence {h(z,t)} are the same as the terms of the tuple (N(z,0), horizontal ellipsis ,N(z,m)).
引用
收藏
页数:16
相关论文
共 50 条