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Article detail · 2025

Approximation by Durrmeyer type neural network operators

FILOMAT

YÖKSİS OpenAlex Open access · diamond SJR Q2 JCR Q2 Citations 0 Percentile 70.0% FWCI 0.0
Year
2025
ISSN
2406-0933
Type
article

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Abstract

English (OpenAlex)

In approximation theory, various type Durrmeyer operators have been defined and their approximation properties have been investigated. We include some of them in the article. In this article, we define a Durrmeyer type Neural Network operators within a compact interval [a, b]. Moreover we examine approximation properties of this operators in different function spaces.

Topics

  • Approximation Theory and Sequence Spaces
  • Neural Networks and Applications
  • Fuzzy Logic and Control Systems

Primary topic Approximation Theory and Sequence Spaces

Authors

  1. CANDAŞ DİNÇ
  2. HARUN KARSLI BOLU ABANT İZZET BAYSAL ÜNİVERSİTESİ
  3. FATMA TAŞDELEN YEŞİLDAL ANKARA ÜNİVERSİTESİ