Title :
A single layer training for high speed character recognition
Author :
Abo-Elsoud, Mohy A. ; Soliman, Hassan H. ; El-Bakry, Hazem M. ; El-Mikati, Haindi A.
Author_Institution :
Electron. & Elect. Comm. Dept., Mansoura Univ., Egypt
Abstract :
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
Keywords :
CMOS analogue integrated circuits; VLSI; image recognition; learning (artificial intelligence); neural chips; optical character recognition; real-time systems; analog-digital VLSI implementation; artificial processing element; control circuits; hardware implementation; high speed character recognition; learning algorithm; programmable synaptic weights; real time computing; single layer training; software program; Analog-digital conversion; Character recognition; Circuits; Detectors; Multi-layer neural network; Multilayer perceptrons; Neural network hardware; Neural networks; Pattern recognition; Very large scale integration;
Conference_Titel :
Radio Science Conference, 1996. NRSC '96., Thirteenth National
Conference_Location :
Cairo
Print_ISBN :
0-7803-3656-9
DOI :
10.1109/NRSC.1996.551123
