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/}
}