DocumentCode :
2729861
Title :
Implementation of logic circuits using a novel design of a reconfigurable feedforward artificial neural network approach
Author :
Morsi, M.E.-S. ; El-Soud, M. A Abo ; Salama, N.M.
Author_Institution :
Fac. of Eng., Mansoura Univ., Egypt
fYear :
1998
fDate :
24-26 Feb 1998
Abstract :
No doubt the digital design and implementation of any logic circuit suffer much from the difficulty. On the other hand, the analog design and realization of analog devices have advantages of both economy and easy to implement compared with the digital design. In the present work, we adopted the reconfigurable artificial neural network approach for the of the 7 traditional logic functions in both the bit- and word-level. A new design for XOR and XNOR logic functions have been proposed using this approach. Comparison between the proposed and traditional networks shows that, the proposed network has a minimum number of neurons and synaptic weights. The proposed neural network for bit-level has been realized by a hardware means and the result have been checked using Pspice computer program. Both the actual and computer results are found to be very close to the correct results
Keywords :
feedforward neural nets; logic circuits; logic design; reconfigurable architectures; PSPICE computer program; XNOR function; XOR function; design; logic circuit; logic function; reconfigurable feedforward artificial neural network; Algorithm design and analysis; Artificial neural networks; Design optimization; Information processing; Logic circuits; Logic functions; Neural networks; Neurons; Signal design; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Conference, 1998. NRSC '98. Proceedings of the Fifteenth National
Conference_Location :
Cairo
Print_ISBN :
0-7803-5121-5
Type :
conf
DOI :
10.1109/NRSC.1998.711493
Filename :
711493
Link To Document :
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