Title :
Nonlinear system input structure identification: two stage fuzzy curves and surfaces
Author :
Lin, Yinghua ; Cunningham, George A., III ; Coggeshall, Stephen V. ; Jones, Roger D.
Author_Institution :
Div. of Comput. & Commun., Los Alamos Nat. Lab., NM, USA
fDate :
9/1/1998 12:00:00 AM
Abstract :
When modeling a complex, poorly defined, nonlinear problem with hundreds of possible inputs, we must identify the significant inputs before any known nonlinear modeling techniques can be applied. We introduce two stage fuzzy curves and surfaces and use them to 1) automatically and quickly order large numbers of inputs according to their significance, 2) eliminate spurious inputs, and 3) eliminate inputs dependent on the significant inputs
Keywords :
fuzzy neural nets; fuzzy systems; identification; interpolation; modelling; nonlinear systems; performance index; input structure identification; nonlinear modeling techniques; nonlinear system; two stage fuzzy curves; two stage fuzzy surfaces; Associate members; Finance; Fuzzy systems; Input variables; Laboratories; Mobile communication; Mobile handsets; Multidimensional systems; Nonlinear systems; Uncertain systems;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.709615
