title: Combining regression trees and radial basis function networks.
abstract: We describe a method for non-parametric regression which combines regression trees with radial basis function networks. The method is similar to that of Kubat, who was first to suggest such a combination, but has some significant improvements. We demonstrate the features of the new method, compare its performance with other methods on DELVE data sets and apply it to a real world problem involving the classification of soybean plants from digital images.
authors: Division of Informatics, University of Edinburgh, Scotland.
authors: M
authors: M
authors: Orr
authors: J
authors: J
authors: Hallam
authors: K
authors: K
authors: Takezawa
authors: A
authors: A
authors: Murra
authors: S
authors: S
authors: Ninomiya
authors: M
authors: M
authors: Oide
authors: T
authors: T
authors: Leonard
mesh_terms: D015233:Models, Statistical; D016571:Neural Networks, Computer; D012044:Regression Analysis; D018709:Statistics, Nonparametric