A simple design and implementation of reconfigurable neural networks

Authors:
Hazem M. EI-Bakry;Nikos Mastorakis
Affiliations:
Faculty of Computer Science & Information Systems, Mansoura University, Egypt;Department of Computer Science, Military Institutions of University Education, Hellenic Naval Academy, Greece
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

Citing 3
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Abstract

There are some problems in hardware implementation of digital combinational circuits. In contrast, analog design has the advantages of both economy and easy to implement compared with the digital design. In this paper, a simple design and implementation of analog reconfigurable artificial neural network is presented. A novel design of arithmetic unit that including full-adder, full-subtractor, 2-bit digital multiplier and 2-bit digital divider is introduced. The proposed neural network has been realized by hardware components and the results are simulated using Hspice program. Practical results confirm the theoretical considerations.