DocumentCode
3229884
Title
An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks
Author
White, Halbert
Author_Institution
Dept. of Econ., California Univ., San Diego, La Jolla, CA, USA
fYear
1989
fDate
0-0 1989
Firstpage
451
Abstract
The author presents a statistical test of the hypothesis that a given multilayer feedforward network exactly represents some unknown mapping subject to inherent noise against the alternative that the network neglects some nonlinear structure in the mapping, leading to potentially avoidable approximation errors. The tests are based on methods that statistically determine whether or not there is some advantage to be gained by adding hidden units to the network.<>
Keywords
approximation theory; neural nets; statistical analysis; additional hidden unit test; approximation errors; multilayer feedforward networks; nonlinear structure; nonlinearity; statistical test; unknown mapping; Approximation methods; Neural networks; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118281
Filename
118281
Link To Document