Proceedings Paper
Neural network architecture for fault diagnosis of digital circuits| Format | Member Price | Non-Member Price |
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Paper Abstract
A neural network architecture that is capable of assisting as well as providing valuable information in diagnosing faults in digital circuits is presented here. Once a digital circuit has been constructed, it is required to test the circuit in order to find out how well the digital circuit works. The neural network architecture presented here will be useful on a wide variety of circuits, both analog and digital, and efficient for guiding the search and forming fault and test hypotheses in diagnostic trouble-shooting of electronic circuits.
Paper Details
Date Published: 11 August 1995
PDF: 6 pages
Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); doi: 10.1117/12.216360
Published in SPIE Proceedings Vol. 2568:
Neural, Morphological, and Stochastic Methods in Image and Signal Processing
Edward R. Dougherty; Francoise J. Preteux; Sylvia S. Shen, Editor(s)
PDF: 6 pages
Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); doi: 10.1117/12.216360
Show Author Affiliations
Susamma Barua, California State Univ./Fullerton (United States)
Published in SPIE Proceedings Vol. 2568:
Neural, Morphological, and Stochastic Methods in Image and Signal Processing
Edward R. Dougherty; Francoise J. Preteux; Sylvia S. Shen, Editor(s)
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