Adaptive Neuro-Fuzzy Inference System as a Universal Estimator 2024
DOI: 10.5772/intechopen.1004337
|View full text |Cite
|
Sign up to set email alerts
|

Introductory chapter: ANFIS for modeling multivariable nonlinear functions

Constantin Voloşencu

Abstract: The approximation errors vary a lot on the surface of the nonlinear function, being on certain portions small, acceptable, but on other portions quite large, having to be reduced through other attempts. It is likely that, by doing other trainings, a structure can be obtained that ensures, maybe, smaller approximation errors, but there is no such sure certainty.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 17 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?