@inproceedings{fa1d2701f4aa4fddbd6f1b408331ee3a,
title = "Handwritten digit recognition: a neural network demo",
abstract = "A handwritten digit recognition system was used in a demonstration project to visualize artificial neural networks, in particular Kohonen¿s self-organizing feature map. The purpose of this project was to introduce neural networks through a relatively easy-to-understand application to the general public. This paper describes several techniques used for preprocessing the handwritten digits, as well as a number of ways in which neural networks were used for the recognition task. Whereas the main goal was a purely educational one, a moderate recognition rate of 98% was reached on a test set.",
keywords = "METIS-200571, IR-42161, EWI-1775",
author = "{van der Zwaag}, B.J.",
year = "2001",
month = oct,
doi = "10.1007/3-540-45493-4_75",
language = "Undefined",
isbn = "3 540 42732 5",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "762--771",
editor = "Bernd Reusch",
booktitle = "Computational Intelligence: Theory and Applications, Proceedings of the International Conference 7th Fuzzy Days",
address = "Netherlands",
note = "null ; Conference date: 01-10-2001 Through 03-10-2001",
}