Publication detail

Global versus local aproximation in inverse problem

KREJSA, J., VĚCHET, S., PULCHART, J.

Original Title

Global versus local aproximation in inverse problem

Type

journal article - other

Language

English

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

inverse problem, approximators, neural networks, weighted regression

Authors

KREJSA, J., VĚCHET, S., PULCHART, J.

RIV year

2004

Released

23. 9. 2004

Publisher

Warsaw University of Technology, Faculty of Mechatronics

Location

Warsaw, Poland

ISBN

0033-2089

Periodical

Elektronika

Year of study

2004

Number

8-9

State

Republic of Poland

Pages from

57

Pages to

60

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"
}