Evolving fault tolerant digital circuitry: Comparing population-based and correlation-based methods

Greenwood, Garrison W.; Joshi, Makarand

doi:10.1109/cec.2009.4983293

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Here, we want to emphasize that the value of y i (i = 1,2,..., n) varies with the adopted distance matric, and y is decided by matrix W, which can be seen in (2). The samples here are sorted by the value of x according to the order from small to large.…”

Section: ) the Objective Function For Matric Learningmentioning

confidence: 99%

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Learning the Distance between Circuit Structures for Fault Tolerance of Redundant System

Zheng

Jiang

2014

2014 Seventh International Symposium on Computational Intelligence and Design

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The fault-tolerant design is a very important part of electronic system design. Redundant fault-tolerant design is a kind of fault-tolerant design method it is simple and effective. The previous researchers pay more attention to the influence of the output of circuits on the fault-tolerance of redundant system. Compared with the previous works, the characteristic of this paper is that we will study the circuit structure's influence on the system's fault tolerance. First we propose a matrix representation method which describes the structure of analog circuit with a matrix. By calculating the Euclidean distance between the structures of circuit, we find that the distance is inversely proportional to system's fault tolerance. Finally, we introduce a matric learning method based on the Mahalanobis distance. Experiment results show that under the effect of the new learned distance matric, along with the decrease of the distance between circuit structures, the system's fault tolerance will deteriorate. The relationship is useful for us to build redundancy fault-tolerant system.

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Section: ) the Objective Function For Matric Learningmentioning

confidence: 99%

“…The fault-tolerant design of a single circuit has two methods: the fault-tolerant design based on fault-tolerant test [1] and the fault-tolerant design based on population [2]. We divide the redundant fault-tolerant system design into isomorphism redundant system design and heterogeneous redundant system design.…”

Section: Introductionmentioning

confidence: 99%