CFP last date
20 January 2025
Reseach Article

Neural Network Simulation of Digital Circuits

by D. P. Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 6
Year of Publication: 2013
Authors: D. P. Sharma
10.5120/13743-1456

D. P. Sharma . Neural Network Simulation of Digital Circuits. International Journal of Computer Applications. 79, 6 ( October 2013), 7-13. DOI=10.5120/13743-1456

@article{ 10.5120/13743-1456,
author = { D. P. Sharma },
title = { Neural Network Simulation of Digital Circuits },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 6 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number6/13743-1456/ },
doi = { 10.5120/13743-1456 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:17.317292+05:30
%A D. P. Sharma
%T Neural Network Simulation of Digital Circuits
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 6
%P 7-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper discusses the process of behavioral conversion of digital circuits used for signal processing applications into its neural network counterpart[1][2]. The neural network so devised represents simulated digital circuits without any deviation in its input–output characteristics. However, the design of such networks depends entirely on different parameters and thus the design process too. It is believed that, if designed properly, the software format of neural network will be helpful in replacing various important hardware circuits in the digital systems calls for precision[4][5].

References
  1. Claus Svarer, 1995. Neural Networks for Signal Processing, Ph. D. Thesis, CONNECT Electronics Institute, Technical University of Denmark.
  2. Miona Andrejevi? and Van?o Litovski. Electronic Circuits Modeling using Artificial Neural Networks. Journal of Automatic Control, University of Belgrade, VOL. 13(1):31-37, 2003.
  3. Jongmin Kim, John J. Hopfield, and Erik Winfree. Neural Network Computation by in Vitro Transcriptional Circuits. California Institute of Technology. 2004.
  4. Philips Research Laboratories. Eindhoven. Neural Network Applications in Device and Sub-circuit Modeling for Circuit Simulation. Netherlands. 2003.
  5. Jason M. Kinser. and Thomas Lindblad, 1997 Implementation of Pulse-coupled Neural Networks in a CNAPS Environment. Technical Paper. No - 10. 1. 1. 45. 4239. Royal institute of Technology, Sweden.
  6. Jan Michalik, 2009. Applied Neural Network for Digital Signal Processing with DSC TMS320F28335. VSB-Technical university of Ostrava.
  7. Yu Hen Hu and Jenq-Neng Hwang. 2002. Handbook of Neural Network Signal Processing. CRC Press. London.
  8. Optimization of Backpropagation Algorithm for Training Multilayer Perceptrons. W. Schiffmann, M. and Joost, R. Werner. 1994. University of Koblenz. Institute of Physics.
  9. J. M. Quero, S. L. Toral, J. G. Ortega, and L. G. Franquelo, "Continuous Time Filter Using Stochastic Logic," 42nd Midwest Symposium on Circuits and Systems, 2000, Vol. 1, pp. 113-116.
  10. Bradley D. Brown and Howard C. Card, "Stochastic Neural Computation I: Computational Elements," IEEE Transactions on Computers, Vol. 50, No. 9, Sep 2001, pp. 891-905.
  11. Widrow, B. and Stearns, S. D. Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1985.
  12. Middleton, R. and Goodwin, G. , Digital Estimation an Control: A Unified Approach, Prentice-Hall, Englewood Cliffs, NJ, 1990.
  13. Feldkamp, L. and Puskorius, G. , A signal processing framework based on dynamic neural networks with applications to the problems in adaptation, filtering, and classification, Proceedings of the IEEE, 86, 2259–2277, 1998.
  14. A. Krogh and J. Vedelsby, Neural networks ensembles, cross validation and active learning, in Advances in Neural Information Processing Systems 7, MIT Press, Cambridge, MA, 1995.
Index Terms

Computer Science
Information Sciences

Keywords

Digital Circuits Neural Networks Discrete Circuit conversion