Neural Network Ensemble Based on Clonal Selection Algorithm for Sneak Circuit Analysis

Bing Jie Liu; Wen Zhong Lu; Hai Yan Ji

doi:10.4028/www.scientific.net/AMM.511-512.913

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 511-512Neural Network Ensemble Based on Clonal Selection...

Neural Network Ensemble Based on Clonal Selection Algorithm for Sneak Circuit Analysis

Abstract:

The paper proposed a novel neural network ensemble algrithm (NNNEA) whose individual was generated by clonal selection algorithm. NNNEA can produced individuals of ensemble with better difference than other algrithm. NNNEA was used for predicting ciruit functions and finding sneak circuit. The inputs of NNNEA are states of switches, and the outputs are states of functional components. NNNEA predicted all possible functions of circuit. The sneak circuits can be discovered by comparing the predicted with designed functions. Although there are several limitations of NNNNEA, the results revealed that NNNNEA can exactly discover sneak circuits.

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Periodical:

Applied Mechanics and Materials (Volumes 511-512)

Pages:

913-917

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.511-512.913

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Online since:

February 2014

Authors:

Bing Jie Liu, Wen Zhong Lu, Hai Yan Ji

Keywords:

Clonal Selection Algorithm, Generalization Performance, Neural Network Ensemble, Sneak Circuit Analysis

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References

[1] Frank Ellis Walkers, Sneak Circuit Analysis Automation, in 1989 Proceedings Annual Reliability and Maintainability Symposium, USA, 1989, pp.356-362.

Google Scholar

[2] Bingjie Liu and Changhua Hu, Sneak circuit analysis based on neural networks, Journal of ASTRONAUTICS, 2006. Vol. 27, No. 3, pp.265-268, (In Chinese).

Google Scholar

[3] Pingfan Yan and Changshui Zhang, Artificial Neural Networks and Evolutionary Computing. Press House of Qsinghua University: Beijing, 2003. (In Chinese).

Google Scholar

[4] Perrone M P and Cooper L N, When Networks Disagree: Ensemble method for Neural Networks. Artificial Neural Networks for Speech and Vision, Champman-Hall: London, (1993).

Google Scholar