基于二元神经网络的可靠性算法

IEEE Conference Anthology Pub Date : 1900-01-01 DOI:10.1109/ANTHOLOGY.2013.6784859

Juan Yang, Yang Lu, Qiang Wang, Lei Yu

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引用次数: 0

摘要

针对可靠性研究的局限性，本文从复杂系统的通用性出发，首先通过训练二元神经网络将系统组件转换成线性组合，然后求解线性组合的分布函数。通过这种方法，本文最终得到了一种分析任意系统可靠性的通用方法。最后给出了该方法的理论保证，并通过算例进行了验证。

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The reliability algorithm based on binary neural networks

According to the limitation in the research of reliability, this paper, starting from the generality of complex systems, firstly converts the system components into the linear combination by training the binary neural network, secondly we solve the distribution function of the linear combination. With this method, this paper finally gets a general method to analyse the reliability of arbitrary systems. Finally, this paper gives its theoretical guarantee and this method is also validated through examples.

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IEEE Conference Anthology

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