On improving training time of neural networks in mixed signal circuit fault diagnosis applications-Reference-Cited by-同舟云学术

On improving training time of neural networks in mixed signal circuit fault diagnosis applications

Published:2008-05 Issue:5 Volume:48 Page:781-793
ISSN:0026-2714
Container-title:Microelectronics Reliability
language:en
Short-container-title:Microelectronics Reliability

Author:

Mohammadi K.,Seyyed Mahdavi S.J.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Surfaces, Coatings and Films,Safety, Risk, Reliability and Quality,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference37 articles.

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2. Hush DR, Abdallahs CT, Heileman GL, Docampo D. Neural networks in fault detection: a case study. In: Proceedings of the American control conference, Albuquerque, NM; 1997.

3. Litovski VB, Andrejevic M. Electronic modelling using ANNs for analogue and mixed-mode behavioural simulation. In: 6th Seminar on neural network applications in electrical engineering, NEUREL ’02; 26–28 September 2002. p. 113–8.

4. Starzyk J, Pang J. Fault diagnosis in analog and mixed mode low testability system. In: 4th World multi-conference on systems, cybernetics and informatics (SCI2000), Orlando, FL; July 2000. p. 452–60 [best paper award].

5. Meijer Peter BL. Neural networks for device and circuit modeling. In: 3rd International workshop scientific computing in electrical engineering, Philips Research Laboratories, Eindhoven, The Netherlands; 2000.

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