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Application of the ANNA neural network chip to high-speed character recognition

Säckinger, Eduard; Boser, Bernhard E.; Bromley, Jane M.; LeCun, Yann and Jackel, Larry D. (1992). Application of the ANNA neural network chip to high-speed character recognition. IEEE Transactions on Neural Networks, 3(3) pp. 498–505.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1109/72.129422
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Abstract

A neural network with 136000 connections for recognition of handwritten digits has been implemented using a mixed analog/digital neural network chip. The neural network chip is capable of processing 1000 characters/s. The recognition system has essentially the same rate (5%) as a simulation of the network with 32-b floating-point precision

Item Type: Journal Item
Copyright Holders: 1992 IEEE
ISSN: 1045-9227
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 35661
Depositing User: Jane M. Bromley
Date Deposited: 22 May 2013 11:07
Last Modified: 08 Dec 2018 00:01
URI: http://oro.open.ac.uk/id/eprint/35661
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