DocumentCode
1748907
Title
Structural comparison of nonlinear approximants, with applications
Author
Cogger, Kenneth O.
Author_Institution
Peak Consulting Inc., Conifer, CO, USA
Volume
4
fYear
2001
fDate
2001
Firstpage
2525
Abstract
Adaptive logic networks, multivariate adaptive regression splines, and hinged hyperplanes have structural similarities and differences leading to differing modeling ability and ease of interpretation. These distinctions are reviewed, and some successful applications are described
Keywords
neural nets; splines (mathematics); statistical analysis; adaptive logic networks; hinged hyperplanes; multivariate adaptive regression splines; nonlinear approximants; structural comparison; Adaptive systems; Application software; Autoregressive processes; Function approximation; Logic functions; Mars; Neural networks; Piecewise linear techniques; Predictive models; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.938766
Filename
938766
Link To Document