A single layer training for high speed character recognition

Single-layer training for high speed English capital or small letters recognition is presented. A new approach to the hardware implementation of the artificial processing element (PE) and control circuits with learning is introduced. The programmable synaptic weights are computed during the training...

Full description

Saved in:
Bibliographic Details
Main Authors: Abo-Elsoud, M.A., Soliman, H.H., El-Bakry, H.M., El-Mikati, H.A.
Format: Conference Proceeding
Language:English
Subjects:
Analog-digital conversion
Character recognition
Circuits
Detectors
Multi-layer neural network
Multilayer perceptrons
Neural network hardware
Neural networks
Pattern recognition
Very large scale integration
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Single-layer training for high speed English capital or small letters recognition is presented. A new approach to the hardware implementation of the artificial processing element (PE) and control circuits with learning is introduced. The programmable synaptic weights are computed during the training period by a software program. The proposed learning algorithm is very fast and significant in many ways. The results are computed in real time and appear to be perfect. This system is very suitable for analog-digital VLSI implementation.
DOI:10.1109/NRSC.1996.551123