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.

DOI: https://doi.org/10.1109/72.129422

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

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About

• Item ORO ID
• 35661
• Item Type
• Journal Item
• ISSN
• 1045-9227
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 1992 IEEE
• Depositing User
• Jane M. Bromley