Publication detail

Global versus local aproximation in inverse problem

KREJSA, J. VĚCHET, S. PULCHART, J.

English title

Global versus local aproximation in inverse problem

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

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).

Keywords in English

inverse problem, approximators, neural networks, weighted regression

Released

2004-09-23

Publisher

Warsaw University of Technology, Faculty of Mechatronics

Location

Warsaw, Poland

ISSN

0033-2089

Volume

2004

Number

8-9

Pages from–to

57–

Pages count

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"
}