Extrapolation and interpolation in neural network classifiers

1 October 1992

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Control Systems

Vol. 12 (5) , 50-53
https://doi.org/10.1109/37.158898

Abstract

Multilayer perceptrons have recently been shown by M.A. Kramer and J.A. Leonard (1990, 1991) to give anomalous behavior in a diagnosis application. It is shown that this unsatisfactory behavior indicates a mismatch of application and technique, rather than any deficiency in the multilayer perceptron. It is further argued that this mismatch is indicative of the differences between applications that require interpolation and those which require extrapolation in addition. Simulation results to indicate a satisfactory performance of multilayer perceptrons in suitable applications are presented.

Keywords

This publication has 4 references indexed in Scilit:

Diagnosis using backpropagation neural networks—analysis and criticism
Computers & Chemical Engineering, 1990
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks, 1990
Fast Learning in Networks of Locally-Tuned Processing Units
Neural Computation, 1989
Density Estimation for Statistics and Data Analysis
Published by Springer Nature ,1400