Title :
Structural comparison of nonlinear approximants, with applications
Author :
Cogger, Kenneth O.
Author_Institution :
Peak Consulting Inc., Conifer, CO, USA
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;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.938766
