We construct and discuss a functional equation with contraction property. The solutions are real univariate polynomials. The series solving the natural fixed point iterations have immediate interpretation in terms of Neural Networks with recursive properties and controlled accuracy
Interpretability of neural networks and their underlying theoretical behaviour remain an open field ...
AbstractThis paper studies the dynamics of a system of retarded functional differential equations (i...
We investigate numerous structural connections between numerical algorithms for partial differential...
In his „essay towards a calculus of functions “ from 1815 Charles Babbage introduced a branch of mat...
We start from the contractive functional equation proposed in [4], where it was shown that the polyn...
Artificial neural networks are directed finite acyclic graphswhere a value of a node is determined a...
The ability of feedforward neural networks to identify the number of real roots of univariate polyn...
The classical development of neural networks has primarily focused on learning mappings between fini...
We define a neural network in infinite dimensional spaces for which we can show the universal approx...
AbstractThe ability of feedforward neural networks to identify the number of real roots of univariat...
The ability of feedforward neural networks to identify the number of real roots of univariate polyno...
Sum fraction terms can approximate multi-variable functions on the basis of discrete observations, r...
International audienceThe Turing completeness result for continuous chemical reaction networks (CRN)...
RESUMEN: A primera vista el Aprendizaje Computacional y la Geometría Algebraica parecen dos ámbitos...
http://www.sciencedirect.com/science/journal/08936080International audienceIn this paper, we study a...
Interpretability of neural networks and their underlying theoretical behaviour remain an open field ...
AbstractThis paper studies the dynamics of a system of retarded functional differential equations (i...
We investigate numerous structural connections between numerical algorithms for partial differential...
In his „essay towards a calculus of functions “ from 1815 Charles Babbage introduced a branch of mat...
We start from the contractive functional equation proposed in [4], where it was shown that the polyn...
Artificial neural networks are directed finite acyclic graphswhere a value of a node is determined a...
The ability of feedforward neural networks to identify the number of real roots of univariate polyn...
The classical development of neural networks has primarily focused on learning mappings between fini...
We define a neural network in infinite dimensional spaces for which we can show the universal approx...
AbstractThe ability of feedforward neural networks to identify the number of real roots of univariat...
The ability of feedforward neural networks to identify the number of real roots of univariate polyno...
Sum fraction terms can approximate multi-variable functions on the basis of discrete observations, r...
International audienceThe Turing completeness result for continuous chemical reaction networks (CRN)...
RESUMEN: A primera vista el Aprendizaje Computacional y la Geometría Algebraica parecen dos ámbitos...
http://www.sciencedirect.com/science/journal/08936080International audienceIn this paper, we study a...
Interpretability of neural networks and their underlying theoretical behaviour remain an open field ...
AbstractThis paper studies the dynamics of a system of retarded functional differential equations (i...
We investigate numerous structural connections between numerical algorithms for partial differential...