用不可靠元件构造可靠系统及其神经网络实现
The Synthesis of Reliable Systems from Unreliable Components and its Realization Using Neural Networks
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摘要: 本文提出了可靠系统概念及用不可靠元件构造可靠系统的冗余原则,证明了可靠系统的 重要性质.其中特别重要的是,当元件可靠度大于系统可靠度转折点,且元件数趋于∞时,系 统可靠度趋于1.本文还给出了一个用BP模型实现可靠系统的例子.Abstract: This paper studies the plausibility of constructing reliable system from unreliable components by using redundancy. One important property, among several shown in tile paper, is that the reliability of the entire system can approaches 1 as the degrees of the reliability of the components exceed a turning point of the system reliability function, and the number of elements used tends to ∞. An example of synthesizing such system using neural networks is given.
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Key words:
- Reliable system /
- reliability /
- redundancy principle /
- neural networks /
- BP model
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