DocumentCode
3125708
Title
Polytopic and TS models are nowhere dense in the approximation model space
Author
Tikk, Domonkos ; Baranyi, Peter ; Patton, Ron J.
Author_Institution
Dept. of Telecommun. & Telematics, Budapest Univ. of Technol. & Econ., Hungary
Volume
7
fYear
2002
fDate
6-9 Oct. 2002
Abstract
We show in this paper that the set of functions, consisting of polytopic or TS models constructed from finite number of components, is nowhere dense in the approximation model space, if that is defined as a subset of continuous functions. This topological notion means that the given set of functions lies "almost discretely" in the space of approximated functions. As a consequence, by means of the mentioned models we cannot approximate in general continuous functions arbitrarily well, if the number of components are restricted. Thus, only functions satisfying certain conditions can be approximated by such models, or alternatively, we need unbounded number of components. The possible solutions are outlined in the paper.
Keywords
function approximation; neural nets; TS models; Web; approximation model space; continuous bivariate functions; continuous functions; function approximation; fuzzy reasoning; intelligent personalized service algoriffirn; polytopic models; universal approximation; Control systems; Intelligent control; Intelligent systems; Laboratories; Multi-layer neural network; Neural networks; Plasma welding; Space technology; Telecommunication control; Telematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7437-1
Type
conf
DOI
10.1109/ICSMC.2002.1175684
Filename
1175684
Link To Document