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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1175684