A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi Layer Perceptron
Abstract
Bumptrees are geometric data structures introduced by Omohundro (1991) to provide efficient access to a collection of functions on a Euclidean space of interest. We describe a modified bumptree structure that has been employed as a neural network classifier, and compare its performance on several classification tasks against that of radial basis function networks and the standard mutIi-Iayer perceptron.
Cite
Text
Bostock and Harget. "A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi Layer Perceptron." Neural Information Processing Systems, 1993.Markdown
[Bostock and Harget. "A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi Layer Perceptron." Neural Information Processing Systems, 1993.](https://mlanthology.org/neurips/1993/bostock1993neurips-comparative/)BibTeX
@inproceedings{bostock1993neurips-comparative,
title = {{A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi Layer Perceptron}},
author = {Bostock, Richard T. J. and Harget, Alan J.},
booktitle = {Neural Information Processing Systems},
year = {1993},
pages = {240-246},
url = {https://mlanthology.org/neurips/1993/bostock1993neurips-comparative/}
}