Title :
A parallel design and implementation for backpropagation neural network using MIMD architecture
Author :
Fathy, Sherif Kassem ; Syiam, Mostafa Mahmoud
Author_Institution :
Dept. of Comput. Eng. & Sci., MTC, Cairo, Egypt
Abstract :
The paper illustrates a parallel backpropagation algorithm that depends upon a transputer network. Since the backpropagation algorithm is regarded as being communication intensive, a mechanism is developed to decrease the communication time overhead between different related processor elements. The developed parallel backpropagation algorithm is applied to the problem of printed Arabic character recognition. The experimental results revealed that the speed up approaches the maximum value of 15.2 when a network of 16-transputers is utilized
Keywords :
backpropagation; neural net architecture; optical character recognition; parallel algorithms; parallel architectures; performance evaluation; transputer systems; MIMD architecture; backpropagation neural network; communication intensive; communication time overhead; experimental results; parallel backpropagation algorithm; parallel design; printed Arabic character recognition; transputer network; Algorithm design and analysis; Backpropagation algorithms; Character recognition; Computer architecture; Computer networks; Convergence; Neural networks; Neurons; Parallel algorithms; Training data;
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
DOI :
10.1109/MELCON.1996.551228
