Functionally Equivalent Feedforward Neural Networks
Abstract
For a feedforward perceptron type architecture with a single hidden layer but with a quite general activation function, we characterize the relation between pairs of weight vectors determining networks with the same input-output function.
Cite
Text
Kurková and Kainen. "Functionally Equivalent Feedforward Neural Networks." Neural Computation, 1994. doi:10.1162/NECO.1994.6.3.543Markdown
[Kurková and Kainen. "Functionally Equivalent Feedforward Neural Networks." Neural Computation, 1994.](https://mlanthology.org/neco/1994/kurkova1994neco-functionally/) doi:10.1162/NECO.1994.6.3.543BibTeX
@article{kurkova1994neco-functionally,
title = {{Functionally Equivalent Feedforward Neural Networks}},
author = {Kurková, Vera and Kainen, Paul C.},
journal = {Neural Computation},
year = {1994},
pages = {543-558},
doi = {10.1162/NECO.1994.6.3.543},
volume = {6},
url = {https://mlanthology.org/neco/1994/kurkova1994neco-functionally/}
}