Test method based on neural network for crosstalk faults in digital circuits

Zhongliang Pan; Ling Cheng; Guangzhao Zhang

doi:10.1117/12.810608

12 January 2009 Test method based on neural network for crosstalk faults in digital circuits

Zhongliang Pan, Ling Cheng, Guangzhao Zhang

Proceedings Volume 7133, Fifth International Symposium on Instrumentation Science and Technology; 713306 (2009) https://doi.org/10.1117/12.810608
Event: International Symposium on Instrumentation Science and Technology, 2008, Shenyang, China

Abstract

The increase in signal switching speed and density of digital circuits leads to the crosstalk faults of interconnection lines, which may cause undesirable effects and even logic errors in the circuit. A new test method based on the neural network models of digital circuits is proposed in this paper for the crosstalk faults in digital circuits. The neural network corresponding to digital circuit is built, and the test vectors of the crosstalk faults are generated by computing the minimum energy states of neural network. A chaotic evolutionary strategies algorithm is designed to compute the minimum energy states. The algorithm combines the features of chaotic systems and evolutionary strategies, and takes full advantages of the stochastic properties and global search ability of the two techniques. Experimental results on a lot of benchmark circuits show that the approach proposed in this paper can be used to get the test vectors of the crosstalk faults if the crosstalk faults are testable.e

Citation Download Citation

Zhongliang Pan, Ling Cheng, and Guangzhao Zhang "Test method based on neural network for crosstalk faults in digital circuits", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 713306 (12 January 2009); https://doi.org/10.1117/12.810608

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