Application of the ANNA Neural Network Chip to High-Speed Character Recognition

Eduard Sackinger; Bernhard E. Boser; Jane Bromley; Yann LeCun; Lawrence D. Jackel

doi:10.1109/72.129422

Application of the ANNA Neural Network Chip to High-Speed Character Recognition

Eduard Sackinger, Bernhard E. Boser, Jane Bromley, Yann LeCun, Lawrence D. Jackel

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

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

Original language	English (US)
Pages (from-to)	498-505
Number of pages	8
Journal	IEEE Transactions on Neural Networks
Volume	3
Issue number	3
DOIs	https://doi.org/10.1109/72.129422
State	Published - May 1992

ASJC Scopus subject areas

Software
Computer Science Applications
Computer Networks and Communications
Artificial Intelligence

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10.1109/72.129422

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title = "Application of the ANNA Neural Network Chip to High-Speed Character Recognition",

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

author = "Eduard Sackinger and Boser, {Bernhard E.} and Jane Bromley and Yann LeCun and Jackel, {Lawrence D.}",

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AU - Jackel, Lawrence D.

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Application of the ANNA Neural Network Chip to High-Speed Character Recognition

Abstract

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