Detail publikace

Global versus local aproximation in inverse problem

KREJSA, J. VĚCHET, S. PULCHART, J.

Anglický název

Global versus local aproximation in inverse problem

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

The paper compares global and local approximation methods used in inverse problems. Global approximators are represented by feedforward multilayer neural network (FFNN); local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR).

Klíčová slova anglicky

inverse problem, approximators, neural networks, weighted regression

Vydáno

2004-09-23

Nakladatel

Warsaw University of Technology, Faculty of Mechatronics

Místo

Warsaw, Poland

ISSN

0033-2089

Ročník

2004

Číslo

8-9

Strany od–do

57–

Počet stran

4

BIBTEX


@article{BUT45414,
  author="Jiří {Krejsa} and Stanislav {Věchet} and Jaroslav {Pulchart}",
  title="Global versus local aproximation in inverse problem",
  journal="Elektronika",
  year="2004",
  volume="2004",
  number="8-9",
  pages="4",
  issn="0033-2089"
}