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The reliability algorithm based on binary neural networks

机译:基于二元神经网络的可靠性算法

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摘要

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.
机译:根据可靠性研究的限制,本文从复杂系统的一般性开始,首先通过训练二元神经网络将系统组件转换为线性组合,其次是我们解决了线性组合的分布函数。通过这种方法,本文最终获得了分析任意系统可靠性的一般方法。最后,本文提供了理论上的保证,通过示例还经过验证该方法。

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