DocumentCode
1748848
Title
Domain check for input to NN emulating an inverse model
Author
Schiller, Helmut ; Krasnopolsky, Vladimir
Author_Institution
GKSS Forschungszentrum, Geesthacht, Germany
Volume
3
fYear
2001
fDate
2001
Firstpage
2150
Abstract
Multi-layer perceptrons are used in many fields of science and technology to emulate forward and inverse models. The paper proposes a necessary condition check for the validity of results obtained by inverse NNs. The solution consists of a combination of inverse and forward NNs that, in addition to the inversion, computes a quality measure for the inversion. Examples of such combined NNs from applications in the remote sensing area are discussed
Keywords
geophysics computing; multilayer perceptrons; remote sensing; domain check; forward models; inverse model; multilayer perceptrons; necessary condition check; quality measure; remote sensing; Geophysical measurements; Geophysics computing; Inverse problems; Multilayer perceptrons; Neural networks; Performance evaluation; Remote sensing; Satellites; Training data; Water;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.938499
Filename
938499
Link To Document