Analyses of regular fuzzy neural networks for approximation capabilities (Q1582670)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Analyses of regular fuzzy neural networks for approximation capabilities |
scientific article; zbMATH DE number 1517231
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Analyses of regular fuzzy neural networks for approximation capabilities |
scientific article; zbMATH DE number 1517231 |
Statements
Analyses of regular fuzzy neural networks for approximation capabilities (English)
0 references
6 February 2001
0 references
Regular fuzzy neural networks (RFNNs) are proved to be the universal approximator to extended functions. By defining the multivariable trapezoidal F functions with extended addition of F numbers it is shown that the above conclusions hold for RFNNs with multi-input unit.
0 references
fuzzy neural networks
0 references
universal approximation
0 references
trapezoidal F numbers
0 references
trapezoidal F function
0 references
0 references
