Title :
Using radial basis functions to approximate a function and its error bounds
Author :
Leonard, J.A. ; Kramer, M.A. ; Ungar, L.H.
Author_Institution :
Dept. of Chem. Eng., MIT, Cambridge, MA, USA
fDate :
7/1/1992 12:00:00 AM
Abstract :
A novel network called the validity index network (VI net) is presented. The VI net, derived from radial basis function networks, fits functions and calculates confidence intervals for its predictions, indicating local regions of poor fit and extrapolation
Keywords :
extrapolation; function approximation; neural nets; confidence intervals; error bounds; extrapolation; fits functions; function approximation; radial basis functions; validity index network; Accuracy; Chemical engineering; Density measurement; Extrapolation; Pattern recognition; Predictive models; Radial basis function networks; Terrorism; Testing; Training data;
Journal_Title :
Neural Networks, IEEE Transactions on
