The Open UniversitySkip to content
 

An analog neural network processor and its application to high-speed character recognition

Boser, Bernhard E.; Säckinger, Eduard; Bromley, Jane; LeCun, Yann; Howard, Richard E. and Jackel, Lawrence D. (1991). An analog neural network processor and its application to high-speed character recognition. In: IJCNN-91- International Joint Conference on Neural Networks, 8-14 Jul 1991, Seattle, WA, USA, pp. 415–420.

Full text available as:
Full text not publicly available (Version of Record)
Due to publisher licensing restrictions, this file is not available for public download
Click here to request a copy from the OU Author.
DOI (Digital Object Identifier) Link: https://doi.org/10.1109/IJCNN.1991.155214
Google Scholar: Look up in Google Scholar

Abstract

A high-speed programmable neural network chip and its application to character recognition are described. A network with over 130,000 connections has been implemented on a single chip and operates at a rate of over 1000 classifications per second. The chip performs up to 2000 multiplications and additions simultaneously. Its datapath is suitable particularly for the convolutional architectures that are typical in pattern classification networks, but can also be configured for fully connected or feedback topologies. Computations were performed with 6 bits accuracy for the weights and 3 bits for the states. The chip uses analog processing internally for higher density and reduced power dissipation, but all input/output is digital to simplify system integration

Item Type: Conference or Workshop Item
Copyright Holders: 1991 IEEE
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 35668
Depositing User: Jane M. Bromley
Date Deposited: 06 Jun 2013 13:46
Last Modified: 09 Dec 2018 04:22
URI: http://oro.open.ac.uk/id/eprint/35668
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU