ML Anthology

ART2/BP Architecture for Adaptive Estimation of Dynamic Processes

Einar Sørheim
NeurIPS 1990 pp. 169-175
/neurips/1990/srheim1990neurips-art2/

Abstract

The goal has been to construct a supervised artificial neural network that learns incrementally an unknown mapping. As a result a network con(cid:173) sisting of a combination of ART2 and backpropagation is proposed and is called an "ART2/BP" network. The ART2 network is used to build and focus a supervised backpropagation network. The ART2/BP network has the advantage of being able to dynamically expand itself in response to input patterns containing new information. Simulation results show that the ART2/BP network outperforms a classical maximum likelihood method for the estimation of a discrete dynamic and nonlinear transfer function.

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Cite

Text

Sørheim. "ART2/BP Architecture for Adaptive Estimation of Dynamic Processes." Neural Information Processing Systems, 1990.

Markdown

[Sørheim. "ART2/BP Architecture for Adaptive Estimation of Dynamic Processes." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/srheim1990neurips-art2/)

BibTeX

@inproceedings{srheim1990neurips-art2,
  title     = {{ART2/BP Architecture for Adaptive Estimation of Dynamic Processes}},
  author    = {Sørheim, Einar},
  booktitle = {Neural Information Processing Systems},
  year      = {1990},
  pages     = {169-175},
  url       = {https://mlanthology.org/neurips/1990/srheim1990neurips-art2/}
}