ROMJIST is a publication of
Romanian Academy,
Section for Information Science and Technology
Editor – in – Chief:
Radu-Emil Precup
Honorary Co-Editors-in-Chief:
Horia-Nicolai Teodorescu
Gheorghe Stefan
Secretariate (office):
Adriana Apostol
Adress for correspondence: romjist@nano-link.net (after 1st of January, 2019)
Founding Editor-in-Chief
(until 10th of February, 2021):
Dan Dascalu
Editing of the printed version: Mihaela Marian (Publishing House of the Romanian Academy, Bucharest)
Technical editor of the on-line version: Lucian Milea (University POLITEHNICA of Bucharest)
Sponsor: • National Institute for R & D in Microtechnologies
(IMT Bucharest), www.imt.ro
ROMJIST Volume 1, No. 1, 1998, pp. 55-64
Ion CIUCA
On the Function Approximation Using Neural Networks
ABSTRACT: The paper deals with the approximation of continuous functions by feedforward neural networks. It presents an explicit formula for function approximation implementable as a four-layer feedforward neural network using sigmoidal and bell-shaped activation functions. These four-layer feedforward neural networks have the same number of neurons in the hidden layers as the four-layer neural networks constructed by Ito, [16], and Cardaliaguet-Euvrard, [2].Full text not available