A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters
Abstract
We propose a new way to construct a large-scale neural network for 3.000 handwritten Kanji characters recognition. This neural network consists of 3 parts: a collection of small-scale networks which are trained individually on a small number of Kanji characters; a network which integrates the output from the small-scale networks, and a process to facilitate the integration of these neworks. The recognition rate of the total system is comparable with those of the small-scale networks. Our results indicate that the proposed method is effective for constructing a large-scale network without loss of recognition performance.
Cite
Text
Mori and Joe. "A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters." Neural Information Processing Systems, 1989.Markdown
[Mori and Joe. "A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters." Neural Information Processing Systems, 1989.](https://mlanthology.org/neurips/1989/mori1989neurips-largescale/)BibTeX
@inproceedings{mori1989neurips-largescale,
title = {{A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters}},
author = {Mori, Yoshihiro and Joe, Kazuki},
booktitle = {Neural Information Processing Systems},
year = {1989},
pages = {415-422},
url = {https://mlanthology.org/neurips/1989/mori1989neurips-largescale/}
}